Projects: pypi: scikit-learn

https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn

A set of python modules for machine learning and data mining
72 versions
Latest release: about 2 years ago
5,918 dependent packages
43,777,417 downloads last month

Enhanced Analysis
Educational Contributors: a.joly@ulg.ac.be vanderplas@astro.washington.edu bh00038@cvplws63.eps.surrey.ac.uk ha258@cornell.edu satra@mit.edu zl2480@columbia.edu pinto@alum.mit.edu jz4721@nyu.edu matteo.visconti.gr@dartmouth.edu vighneshbirodkar@nyu.edu robert.l.marchman@dartmouth.edu rs2715@stern.nyu.edu claire.savard@colorado.edu aaaagrawal@iitb.ac.in ihaque@cs.stanford.edu rspeer@mit.edu mluessi@nmr.mgh.harvard.edu amitibo@tx.technion.ac.il ericchang2017@u.northwestern.edu jkarno@seas.upenn.edu minghui.liu@trincoll.edu m.lyra@sussex.ac.uk andrew.knyazev@ucdenver.edu lamb@cs.stanford.edu camilo@neurostat.mit.edu martino.sorbaro@ed.ac.uk t.sheerman-chase@surrey.ac.uk cgohlke@uci.edu batulaa@drexel.edu kcarnold@alum.mit.edu apw@seas.harvard.edu abie@alum.mit.edu rossbar@berkeley.edu alceballosa@unal.edu.co fhoang7@berkeley.edu hechen@seas.upenn.edu stefan@sun.ac.za deepyaman.datta@utexas.edu rebekah.kim@columbia.edu shubham.bhardwaj2015@vit.ac.in slama@berkeley.edu nisingh@wharton.upenn.edu kanikas3@vt.edu jdlabal@stanford.edu kjells@uw.edu markus.loning.17@ucl.ac.uk k_nzw@klis.tsukuba.ac.jp dkirkby@uci.edu balawson@bu.edu c.brummitt@columbia.edu choo8@illinois.edu giorgio.patrini@anu.edu.au shangwuy@andrew.cmu.edu rafael.possas@sydney.edu.au olsonran@msu.edu brian.mcfee@nyu.edu naj273@nyu.edu dgrusak@trinity.edu emd222@cornell.edu voth0@sewanee.edu trishnendu.dd2014@cs.iiests.ac.in apeng@berkeley.edu boucher@cs.umass.edu lunt@ctbp.ucsd.edu bakhbari@mgh.harvard.edu piraka@brandeis.edu neal.lathia@cl.cam.ac.uk razhoshia@post.bgu.ac.il michal.romaniuk06@ic.ac.uk m.batchkarov@sussex.ac.uk lemin@cs.colostate.edu rudvlf0413@korea.ac.kr vredev16@msu.edu raschkas@msu.edu ali.baharev@univie.ac.at a.krasoulis@sms.ed.ac.uk arokem@berkeley.edu gabrielvr@al.insper.edu.br eric.sanchez1234@email.bakersfieldcollege.edu fcchou@stanford.edu rofuyu@cs.utexas.edu glemaitre@visor.udg.edu naoyaiijima@hiroshima-u.ac.jp ayushgup@iitk.ac.in joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au jam7w2@mail.missouri.edu j.hale09@imperial.ac.uk tw991@nyu.edu patel_zeel@iitgn.ac.in vincent.lostanlen@nyu.edu stvjc@channing.harvard.edu ritchieng@u.nus.edu bansalsi@usc.edu rbarnes@umn.edu rrohan@cs.cmu.edu liutong.zhou@columbia.edu mdh386@nyu.edu mlf419@nyu.edu shreyave@usc.edu jin.siy@northeastern.edu samuel_ainsworth@brown.edu cwijes1@lsu.edu wadawson@ucdavis.edu xinyuliu@umich.edu rz258@cornell.edu daniel.mallia21@myhunter.cuny.edu argriffi@ncsu.edu filipj@umich.edu kms15@case.edu sam.dixon@berkeley.edu khong008@e.ntu.edu.sg jnelso11@gmu.edu jclawton@umich.edu jaehyunahn@sogang.ac.kr ijpulidos@unal.edu.co gstupp@scripps.edu justhube@umich.edu noamkeidar@campus.technion.ac.il nityamd@nyu.edu css459@nyu.edu alyee@ucsd.edu andersk@mit.edu dhanus@mit.edu coreylevinson@uchicago.edu cailean.carter@quadram.ac.uk bral4884@colorado.edu dschult@colgate.edu dpwe@ee.columbia.edu dylan.cashman@tufts.edu pawelsendyk@berkeley.edu qzhang90@gatech.edu mhaberla@calpoly.edu saketk@student.unimelb.edu.au eunjikim@dm.snu.ac.kr erinrhof@uw.edu ksivaman@purdue.edu garmstrong@ucsd.edu konstantin.shmelkov@polytechnique.edu e175774@ie.u-ryukyu.ac.jp hermidal@cs.umd.edu jbearer@hmc.edu jmarin@csail.mit.edu
Repository Activity:
Repository Owner: scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +2840 Educational commit emails
    142 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +6 Science terms in README
    3 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem

Very Likely Science (100)

Papers Mentioning scikit-learn 2,431

10.3389/fgene.2019.01231
Predicting Endoplasmic Reticulum Resident Proteins Using Auto-Cross Covariance Transformation With a U-Shaped Residue Weight-Transfer Function
Cited by: 1
Author(s): Yang-Yang Miao, Wei Zhao, Guangping Li, Yang Gao, Pu-Feng Du
Software Mentions: 1
Published: almost 6 years ago
10.3389/fgene.2020.00221
Computing Skin Cutaneous Melanoma Outcome From the HLA-Alleles and Clinical Characteristics
Cited by: 30
Author(s): Anjali Dhall, Sumeet Patiyal, Harpreet Kaur, Sherry Bhalla, Chakit Arora, Gajendra P. S. Raghava
Software Mentions: 1
Published: over 5 years ago
10.1016/j.bonr.2021.101070
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learning
Cited by: 4
Author(s): Tomi Nissinen, Sanna Suoranta, Taavi Saavalainen, Reijo Sund, Ossi Hurskainen, Toni Rikkonen, Heikki Kröger, Timo Lähivaara, Sami P. Väänänen
Software Mentions: 1
Published: over 4 years ago
10.3389/fgene.2019.01078
What Do Neighbors Tell About You: The Local Context of Cis-Regulatory Modules Complicates Prediction of Regulatory Variants
Cited by: 3
Author(s): Dmitry Penzar, Arsenii Zinkevich, Ilya E. Vorontsov, Vasily Sitnik, Alexander V. Favorov, Vsevolod J. Makeev, Ivan V. Kulakovskiy
Software Mentions: 1
Published: about 6 years ago
10.1016/j.bpj.2019.12.016
Molecular Insights from Conformational Ensembles via Machine Learning
Cited by: 61
Author(s): Oliver Fleetwood, Marina A. Kasimova, Annie M. Westerlund, Lucie Delemotte
Software Mentions: 1
Published: almost 6 years ago
10.3389/fnhum.2021.636414
Prediction of Freezing of Gait in Parkinson’s Disease Using a Random Forest Model Based on an Orthogonal Experimental Design: A Pilot Study
Cited by: 4
Author(s): Zhonelue Chen, Gen Li, Chao Gao, Yuyan Tan, Jun Li, Jin Zhao, Yun Ling, Xiaoliu Yu, Kang Ren, Shengdi Chen
Software Mentions: 1
Published: over 4 years ago
10.3389/fnhum.2020.609170
Neural and Genetic Bases for Human Ability Traits
Cited by: 3
Author(s): Camila Bonin Pinto, Jannis Bielefeld, Rami Jabakhanji, Diane Reckziegel, James W. Griffith, A. Vania Apkarian
Software Mentions: 1
Published: almost 5 years ago
10.3389/fnhum.2021.700627
Multimodal Prediction of Alzheimer's Disease Severity Level Based on Resting-State EEG and Structural MRI
Cited by: 3
Author(s): Belmir J. de Jesus, Raymundo Cassani, William J. McGeown, Marco Cecchi, K.C. Fadem, Tiago H. Falk
Software Mentions: 1
Published: about 4 years ago
10.3389/fnhum.2018.00219
Congruency of Separable Affix Verb Combinations Is Linearly Indexed by the N400
Cited by: 2
Author(s): Jeff Hanna, Friedemann Pulvermüller
Software Mentions: 1
Published: over 7 years ago
10.1016/j.bpj.2020.02.005
Interpretation of HDX Data by Maximum-Entropy Reweighting of Simulated Structural Ensembles
Cited by: 23
Author(s): Richard T. Bradshaw, Fabrizio Marinelli, José D. Faraldo‐Gómez, Lucy R. Forrest
Software Mentions: 1
Published: over 5 years ago
10.3389/fnhum.2021.647839
An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation
Cited by: 3
Author(s): Sanghum Woo, Jongmin Lee, Hyunji Kim, Sungwoo Chun, Daehyung Lee, Daeun Gwon, Minkyu Ahn
Software Mentions: 1
Published: over 4 years ago
10.3389/fnhum.2018.00444
Music Familiarity Affects EEG Entrainment When Little Attention Is Paid
Cited by: 10
Author(s): Yoshinao Kumagai, Ryosuke Matsui, Toshihisa Tanaka
Software Mentions: 1
Published: almost 7 years ago
10.3389/fnhum.2021.637071
Functional Network Alterations as Markers for Predicting the Treatment Outcome of Cathodal Transcranial Direct Current Stimulation in Focal Epilepsy
Cited by: 4
Author(s): Jiaxin Hao, Wenyi Luo, Yuhai Xie, Ying Feng, Wei Sun, Weifeng Peng, Jun Zhao, Pu-Ming Zhang, Jing Ding, Xin Wang
Software Mentions: 1
Published: over 4 years ago
10.3389/fnhum.2018.00105
Eye Movements During Everyday Behavior Predict Personality Traits
Cited by: 102
Author(s): Sabrina Hoppe, Tobias Loetscher, Stephanie A. Morey, Andreas Bulling
Software Mentions: 1
Published: over 7 years ago
10.3389/fnhum.2017.00015
A Non-parametric Approach to the Overall Estimate of Cognitive Load Using NIRS Time Series
Cited by: 18
Author(s): Soheil Keshmiri, Hidenobu Sumioka, Ryuji Yamazaki, Hiroshi Ishiguro
Software Mentions: 1
Published: almost 9 years ago
10.3389/fnhum.2015.00358
Decoding covert shifts of attention induced by ambiguous visuospatial cues
Cited by: 13
Author(s): Romain Trachel, Maureen Clerc, Thomas Brochier
Software Mentions: 1
Published: over 10 years ago
10.3389/fnhum.2017.00622
Quantifying the Beauty of Words: A Neurocognitive Poetics Perspective
Cited by: 25
Author(s): Arthur Jacobs
Software Mentions: 1
Published: almost 8 years ago
10.3389/fnhum.2020.00034
Predicting in vivo MRI Gradient-Field Induced Voltage Levels on Implanted Deep Brain Stimulation Systems Using Neural Networks
Cited by: 2
Author(s): M. Arcan Erturk, Eric Panken, Mary Carol Conroy, Jonathan Edmonson, Jeff Kramer, Jacob Chatterton, Subharthi Banerjee
Software Mentions: 1
Published: over 5 years ago
10.7554/eLife.56491
Distinct neuronal populations contribute to trace conditioning and extinction learning in the hippocampal CA1
Cited by: 12
Author(s): Rebecca A. Mount, Sudiksha Sridhar, Kyle Hansen, Ali Ibrahim Mohammed, Moona E Abdulkerim, Robb Kessel, Bobak Nazer, Howard J. Gritton, Xue Han
Software Mentions: 1
Published: over 4 years ago
10.3389/fimmu.2019.02454
Comparative Analysis of the CDR Loops of Antigen Receptors
Cited by: 30
Author(s): Wing Ki Wong, Jinwoo Leem, Charlotte Deane
Software Mentions: 1
Published: about 6 years ago
10.3389/fimmu.2021.669357
Influence of HLA Class II Polymorphism on Predicted Cellular Immunity Against SARS-CoV-2 at the Population and Individual Level
Cited by: 6
Author(s): Hannah Charlotte Copley, Loren Gragert, Andrew R. Leach, Vasilis Kosmoliaptsis
Software Mentions: 1
Published: over 4 years ago
10.3389/fimmu.2019.02080
T-Cell Receptor Cognate Target Prediction Based on Paired α and β Chain Sequence and Structural CDR Loop Similarities
Cited by: 37
Author(s): Esteban Lanzarotti, Paolo Marcatili, Morten Nielsen
Software Mentions: 1
Published: about 6 years ago
10.3390/biom10101385
Assigning the Origin of Microbial Natural Products by Chemical Space Map and Machine Learning
Cited by: 15
Author(s): Alice Capecchi, Jean‐Louis Reymond
Software Mentions: 1
Published: about 5 years ago
10.3390/biom11060870
Integrated Multi-Class Classification and Prediction of GPCR Allosteric Modulators by Machine Learning Intelligence
Cited by: 14
Author(s): Tianling Hou, Yuemin Bian, Terence F. McGuire, Xiang‐Qun Xie
Software Mentions: 1
Published: over 4 years ago
10.3390/biom10121605
Analysis of Biological Screening Compounds with Single- or Multi-Target Activity via Diagnostic Machine Learning
Cited by: 13
Author(s): Christian Feldmann, Dimitar Yonchev, Jürgen Bajorath
Software Mentions: 1
Published: almost 5 years ago
10.3389/fnint.2018.00054
The Varieties of the Psychedelic Experience: A Preliminary Study of the Association Between the Reported Subjective Effects and the Binding Affinity Profiles of Substituted Phenethylamines and Tryptamines
Cited by: 46
Author(s): Federico Zamberlán, Camila Sanz, Rocio Martínez Vivot, Carla Pallavicini, Fire Erowid, Earth Erowid, Enzo Tagliazucchi
Software Mentions: 1
Published: almost 7 years ago
10.3389/fmed.2019.00255
Open Practices and Resources for Collaborative Digital Pathology
Cited by: 10
Author(s): Raphaël Marée
Software Mentions: 1
Published: almost 6 years ago
10.3389/fmed.2021.658665
Analysis of the Impact of Medical Features and Risk Prediction of Acute Kidney Injury for Critical Patients Using Temporal Electronic Health Record Data With Attention-Based Neural Network
Cited by: 3
Author(s): Zhimeng Chen, Ming Chen, Xu Sun, Xieli Guo, Qiuna Li, Yinqiong Huang, Yuren Zhang, Lianwei Wu, Yu Liu, Jinting Xu, Yuming Fang, Xiahong Lin
Software Mentions: 1
Published: over 4 years ago
10.3390/biom11091302
Revealing the Mutation Patterns of Drug-Resistant Reverse Transcriptase Variants of Human Immunodeficiency Virus through Proteochemometric Modeling
Cited by: 0
Author(s): Jingxuan Qiu, Xinxin Tian, Jiangru Liu, Yulong Qin, Jun‐Jie Zhu, Dongpo Xu, Tianyi Qiu
Software Mentions: 1
Published: about 4 years ago
10.3389/fmed.2021.683431
Development and Validation of Predictors for the Survival of Patients With COVID-19 Based on Machine Learning
Cited by: 2
Author(s): Yongfeng Zhao, Qianjun Chen, Tao Liu, Ping Luo, Yi Zhou, Minghui Liu, Bei Xiong, Fuling Zhou
Software Mentions: 1
Published: about 4 years ago
10.3389/fmicb.2020.623788
Rapid Microbial Quality Assessment of Chicken Liver Inoculated or Not With Salmonella Using FTIR Spectroscopy and Machine Learning
Cited by: 9
Author(s): Dimitra Dourou, Αθηνά Γρούντα, Anthoula A. Argyri, George Froutis, Panagiοtis Tsakanikas, Agapi I. Doulgeraki, Nikos Chorianopoulos, Chrysoula C. Tassou
Software Mentions: 1
Published: over 4 years ago
10.3389/fmicb.2019.02582
Fourier-Transform Infrared (FTIR) Spectroscopy for Typing of Clinical Enterobacter cloacae Complex Isolates
Cited by: 45
Author(s): Sophia Vogt, Kim Löffler, Ariane Dinkelacker, Birgit Bader, Ingo B. Autenrieth, Silke Peter, Jan Liese
Software Mentions: 1
Published: almost 6 years ago
10.1007/s00404-020-05908-5
Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted images
Cited by: 12
Author(s): Defeng Liu, Xiaohang Zhang, Tao Zheng, Qinglei Shi, Yujie Cui, Yongji Wang, Lanxiang Liu
Software Mentions: 1
Published: almost 5 years ago
10.22037/aaem.v9i1.1059
Early Detection of Rhabdomyolysis-Induced Acute Kidney Injury through Machine Learning Approaches.
Cited by: 3
Author(s): Pooria Poorsarvi Tehrani, Hamed Malek
Software Mentions: 1
Published: almost 5 years ago
10.3389/fmicb.2018.00476
PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine
Cited by: 151
Author(s): Balachandran Manavalan, Tae Hwan Shin, Gwang Lee
Software Mentions: 1
Published: over 7 years ago
10.7554/eLife.59697
A convolutional neural network for the prediction and forward design of ribozyme-based gene-control elements
Cited by: 7
Author(s): Calvin M. Schmidt, Christina D. Smolke
Software Mentions: 1
Published: over 4 years ago
10.3389/fmicb.2021.696921
Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus Species
Cited by: 31
Author(s): Jia-Wei Tang, Qinghua Liu, Xiao-Cong Yin, Ya-Cheng Pan, Pengbo Wen, Xin Liu, Xingxing Kang, Bing Gu, Zuobin Zhu, Liang Wang
Software Mentions: 1
Published: about 4 years ago
10.3389/fmicb.2021.661132
Machine Learning for Predicting Mycotoxin Occurrence in Maize
Cited by: 10
Author(s): Marco Camardo Leggieri, Marco Mazzoni, Paola Battilani
Software Mentions: 1
Published: over 4 years ago
10.3389/fmolb.2019.00047
Machine Learning Classification Model for Functional Binding Modes of TEM-1 β-Lactamase
Cited by: 13
Author(s): Feng Wang, Li Shen, Haoming Zhou, Shouyi Wang, Xinlei Wang, Peng Tao
Software Mentions: 1
Published: over 6 years ago
10.3389/fmolb.2020.556481
Discovery of Potential Flavonoid Inhibitors Against COVID-19 3CL Proteinase Based on Virtual Screening Strategy
Cited by: 44
Author(s): Zhenbo Xu, Lixiang Yang, Xinghao Zhang, Qiling Zhang, Zhibin Ye, Yuanhao Liu, Shuang Wei, Wukun Liu
Software Mentions: 1
Published: about 5 years ago
10.3389/fmolb.2021.704274
Reconstruction of Three-Dimensional Conformations of Bacterial ClpB from High-Speed Atomic-Force-Microscopy Images
Cited by: 7
Author(s): Bhaskar DasGupta, Osamu Miyashita, Takayuki Uchihashi, Florence Tama
Software Mentions: 1
Published: about 4 years ago
10.3389/fpls.2018.01102
On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties
Cited by: 46
Author(s): Salvador Gutiérrez, Juan Fernández‐Novales, María P. Diago, Javier Tardáguila
Software Mentions: 1
Published: over 7 years ago
10.3389/fpls.2020.575810
Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method
Cited by: 28
Author(s): Lei Zhou, Chu Zhang, Mohamed Farag Taha, Xinhua Wei, Yong He, Zhengjun Qiu, Yufei Liu
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpls.2019.00155
Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network
Cited by: 125
Author(s): Ke Lin, Liang Gong, Yongfeng Huang, Chengliang Liu, Junsong Pan
Software Mentions: 1
Published: over 6 years ago
10.1155/2021/4351499
Radiomics Feature Analysis of Cartilage and Subchondral Bone in Differentiating Knees Predisposed to Posttraumatic Osteoarthritis after Anterior Cruciate Ligament Reconstruction from Healthy Knees
Cited by: 4
Author(s): Yuxue Xie, Yibo Dan, Hongyue Tao, Chenglong Wang, Chengxiu Zhang, Yida Wang, Jing Yang, Guang Yang, Shuang Chen
Software Mentions: 1
Published: about 4 years ago
10.3389/fpsyt.2020.531801
Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease Diagnosis
Cited by: 3
Author(s): Naoki Furutani, Yuta Nariya, Tetsuya Takahashi, Sarah Noto, Albert C. Yang, Tetsu Hirosawa, Masafumi Kameya, Yoshio Minabe, Mitsuru Kikuchi
Software Mentions: 1
Published: about 5 years ago
10.3389/fpsyt.2021.598518
Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability
Cited by: 9
Author(s): Pedro Ballester, Laura Tomaz da Silva, Matheus Marcon, Nathália Bianchini Esper, Benício N. Frey, Augusto Buchweitz, Felipe Meneguzzi
Software Mentions: 1
Published: over 4 years ago
10.1155/2015/685067
Risk Factors for Emergency Department Short Time Readmission in Stratified Population
Cited by: 14
Author(s): Ariadna Besga, Borja Ayerdi, Guillermo Alcalde, Alberto Blázquez Manzano, Pedro Lopetegui, Manuel Graña, Ana González‐Pinto
Software Mentions: 1
Published: almost 11 years ago
10.3389/fpsyt.2021.728278
What Factors Are Most Closely Associated With Mood Disorders in Adolescents During the COVID-19 Pandemic? A Cross-Sectional Study Based on 1,771 Adolescents in Shandong Province, China
Cited by: 38
Author(s): Ziyuan Ren, Yaodong Xin, Zhong Lin Wang, Dexiang Liu, Roger Ho, Cyrus S.H. Ho
Software Mentions: 1
Published: about 4 years ago
10.3389/fpsyt.2020.00189
Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar Depression
Cited by: 9
Author(s): Sarah Kittel‐Schneider, Tim Hahn, F. Haenisch, Rhiannon V. McNeill, Andreas Reif, Sabine Bahn
Software Mentions: 1
Published: over 5 years ago
10.3389/fpsyt.2020.00144
Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of Threat
Cited by: 13
Author(s): Mengqi Xing, Jacklynn M. Fitzgerald, Heide Klumpp
Software Mentions: 1
Published: over 5 years ago
10.3389/fpsyt.2020.593336
Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge
Cited by: 18
Author(s): Baptiste Couvy‐Duchesne, Johann Faouzi, Benoît Martin, Elina Thibeau–Sutre, Adam Wild, Manon Ansart, Stanley Durrleman, Didier Dormont, Ninon Burgos, Olivier Colliot
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpsyt.2021.655292
Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals: A Multi-Channel Near Infrared Spectroscopy Study
Cited by: 12
Author(s): Po-Han Chou, Yun Han Yao, Rui Zheng, Yi Long Liou, Tsung Te Liu, Hsien Yuan Lane, Albert C. Yang, Shao-Cheng Wang
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyg.2021.647956
Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style
Cited by: 18
Author(s): Stephanie J. Eder, Andrew A. Nicholson, Michał Stefańczyk, Michał Pieniak, Judit Martínez-Molina, Ondra Pešout, Jakub Binter, Patrick Smela, Frank Scharnowski, David Steyrl
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyg.2021.604522
A Recurrent Neural Network for Attenuating Non-cognitive Components of Pupil Dynamics
Cited by: 1
Author(s): Sharath Koorathota, Kaveri A. Thakoor, Linbi Hong, Yaoli Mao, Patrick Adelman, Paul Sajda
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpsyg.2020.551548
Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector Machine
Cited by: 13
Author(s): Johannes Burdack, Fabian Horst, Daniel Aragonés, Alexander Eekhoff, Wolfgang I. Schöllhorn
Software Mentions: 1
Published: about 5 years ago
10.1155/2017/1826496
A Novel Phosphorylation Site-Kinase Network-Based Method for the Accurate Prediction of Kinase-Substrate Relationships
Cited by: 7
Author(s): Minghui Wang, Tao Wang, Binghua Wang, Yu Liu, Ao Li
Software Mentions: 1
Published: almost 9 years ago
10.3389/fpsyg.2018.01545
Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income Attainment
Cited by: 13
Author(s): William Heyward Hampton, Nima Asadi, Ingrid R. Olson
Software Mentions: 1
Published: about 7 years ago
10.1155/2020/7297631
PredDBP-Stack: Prediction of DNA-Binding Proteins from HMM Profiles using a Stacked Ensemble Method
Cited by: 4
Author(s): Jun Wang, Huiwen Zheng, Yang Yang, Wanyue Xiao, Taigang Liu
Software Mentions: 1
Published: over 5 years ago
10.3389/fpubh.2021.630640
Work Habit-Related Sleep Debt; Insights From Factor Identification Analysis of Actigraphy Data
Cited by: 7
Author(s): Yuki Goto, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Software Mentions: 1
Published: over 4 years ago
10.1155/2016/4354901
Identification of Hot Spots in Protein Structures Using Gaussian Network Model and Gaussian Naive Bayes
Cited by: 8
Author(s): Zhang Hua, Tao Jiang, Guogen Shan
Software Mentions: 1
Published: almost 10 years ago
10.3389/frobt.2018.00035
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence
Cited by: 35
Author(s): Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, David Dormagen, Fernando Wario, Tim Landgraf
Software Mentions: 1
Published: over 7 years ago
10.3389/frobt.2019.00077
Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments
Cited by: 2
Author(s): Kazuhiro Hishinuma, Hideaki Iiduka
Software Mentions: 1
Published: about 6 years ago
10.3389/frobt.2018.00085
Teaching a Robot Bimanual Hand-Clapping Games via Wrist-Worn IMUs
Cited by: 5
Author(s): Naomi T. Fitter, Katherine J. Kuchenbecker
Software Mentions: 1
Published: over 7 years ago
10.3389/frobt.2021.672315
Optical-Tactile Sensor for Lump Detection Using Pneumatic Control
Cited by: 6
Author(s): Jonathan Bewley, George P. Jenkinson, Antonia Tzemanaki
Software Mentions: 1
Published: over 4 years ago
10.3389/frobt.2019.00124
Tactile Signatures and Hand Motion Intent Recognition for Wearable Assistive Devices
Cited by: 7
Author(s): Thekla Stefanou, Greg Chance, Tareq Assaf, Sanja Dogramadzi
Software Mentions: 1
Published: almost 6 years ago
10.3389/frobt.2021.729832
Automatic Detection of Gaze and Body Orientation in Elementary School Classrooms
Cited by: 3
Author(s): Roberto Araya, Jorge Sossa-Rivera
Software Mentions: 1
Published: about 4 years ago
10.3389/frobt.2021.696587
Aiding Grasp Synthesis for Novel Objects Using Heuristic-Based and Data-Driven Active Vision Methods
Cited by: 1
Author(s): Sabhari Natarajan, Galen Brown, Berk Çallı
Software Mentions: 1
Published: over 4 years ago
10.3389/frobt.2020.522141
A Framework for Sensorimotor Cross-Perception and Cross-Behavior Knowledge Transfer for Object Categorization
Cited by: 5
Author(s): Gyan Tatiya, Ramtin Hosseini, Michael C. Hughes, Jivko Sinapov
Software Mentions: 1
Published: about 5 years ago
10.3389/frobt.2019.00092
Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric Bias
Cited by: 3
Author(s): Ryoichi Nakashima, Ryo Ozaki, Tadahiro Taniguchi
Software Mentions: 1
Published: about 6 years ago
10.3389/frobt.2020.00038
A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection
Cited by: 0
Author(s): Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Michael Tangermann
Software Mentions: 1
Published: over 5 years ago
10.3389/fvets.2021.639249
Three-Dimensional Live Imaging of Bovine Preimplantation Embryos: A New Method for IVF Embryo Evaluation
Cited by: 4
Author(s): Yasumitsu Masuda, Ryo Hasebe, Yasushi Kuromi, Masayoshi Kobayashi, Kanako Urataki, Mitsugu Hishinuma, Tetsuya Ohbayashi, Ryo Nishimura
Software Mentions: 1
Published: over 4 years ago
10.2144/fsoa-2019-0131
Integrating computational lead optimization diagnostics with analog design and candidate selection
Cited by: 5
Author(s): Dimitar Yonchev, Jürgen Bajorath
Software Mentions: 1
Published: over 5 years ago
10.1186/s12938-019-0639-0
Comparing classification techniques for identification of grasped objects
Cited by: 5
Author(s): Daniel Nogueira, Paulo Abreu, Maria Teresa Restivo
Software Mentions: 1
Published: over 6 years ago
10.1534/g3.115.025882
Genome-Wide Analysis of the TORC1 and Osmotic Stress Signaling Network in<i>Saccharomyces cerevisiae</i>
Cited by: 9
Author(s): Jeremy Worley, Arron Sullivan, Xiangxia Luo, Matt Kaplan, Andrew P. Capaldi
Software Mentions: 1
Published: almost 10 years ago
10.1007/s41109-018-0081-4
Referral paths in the U.S. physician network
Cited by: 8
Author(s): Chuankai An, A. James O’Malley, Daniel N. Rockmore
Software Mentions: 1
Published: over 7 years ago
10.3390/ijms20081964
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
Cited by: 126
Author(s): Vinothini Boopathi, Sathiyamoorthy Subramaniyam, Adeel Malik, Gwang Lee, Balachandran Manavalan, Deok‐Chun Yang
Software Mentions: 1
Published: over 6 years ago
10.1534/g3.120.401122
QTG-Finder2: A Generalized Machine-Learning Algorithm for Prioritizing QTL Causal Genes in Plants
Cited by: 6
Author(s): Fan Lin, Elena Lazarus, Seung Y. Rhee
Software Mentions: 1
Published: over 5 years ago
10.3390/ijms20194855
Prediction Model with High-Performance Constitutive Androstane Receptor (CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K Compound Library
Cited by: 21
Author(s): Yasunari Matsuzaka, Yoshihiro Uesawa
Software Mentions: 1
Published: about 6 years ago
10.1007/s41109-017-0055-y
Predicting stock market movements using network science: an information theoretic approach
Cited by: 17
Author(s): Minjun Kim, Hiroki Sayama
Software Mentions: 1
Published: about 8 years ago
10.3390/ijms20246276
A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients
Cited by: 17
Author(s): Minjae Joo, Aron Park, Kyungdoc Kim, Won‐Joon Son, Hyo Sug Lee, Gyutae Lim, Jinhyuk Lee, Dong Hoon Lee, Jungseok An, Jung Ho Kim, Tae-Jin Ahn, Seungyoon Nam
Software Mentions: 1
Published: almost 6 years ago
10.3390/ijms21103455
Iroquois Homeobox Protein 2 Identified as a Potential Biomarker for Parkinson’s Disease
Cited by: 6
Author(s): Hyuna Sim, Jooeun Lee, Hee Min Yoo, Sunwha Cho, Hana Lee, Aruem Baek, Jisun Kim, Hyemyung Seo, Mi‐Na Kweon, Hyung Gun Kim, Young‐Joo Jeon, Mi‐Young Son, Jang Hwan Kim
Software Mentions: 1
Published: over 5 years ago
10.1186/s12938-021-00869-5
Decomposition of high-frequency electrical conductivity into extracellular and intracellular compartments based on two-compartment model using low-to-high multi-b diffusion MRI
Cited by: 3
Author(s): Mun Bae Lee, Hyung Joong Kim, Oh In Kwon
Software Mentions: 1
Published: over 4 years ago
10.3390/genes10100812
Identification of Key Genes for the Precise Classification between Solenopsis invicta and S. geminata Facilitating the Quarantine Process
Cited by: 2
Author(s): Kil-Hyun Kim, Jisu Kim, Hyun-Ji Cho, Jong-Ho Lee, Tae-Hwan Jun, Yang-Jae Kang
Software Mentions: 1
Published: about 6 years ago
10.3390/genes10110836
Deregulated Adhesion Program in Palatal Keratinocytes of Orofacial Cleft Patients
Cited by: 1
Author(s): Aysel Mammadova, Carine Carels, Jie Zhou, Christian Gilissen, Maria P. A. C. Helmich, Zhuan Bian, Huiqing Zhou, Johannes W. Von den Hoff
Software Mentions: 1
Published: about 6 years ago
10.3390/ijms21103585
Similarity-Based Methods and Machine Learning Approaches for Target Prediction in Early Drug Discovery: Performance and Scope
Cited by: 24
Author(s): Neann Mathai, Johannes Kirchmair
Software Mentions: 1
Published: over 5 years ago
10.3390/genes12040564
OTUs and ASVs Produce Comparable Taxonomic and Diversity from Shrimp Microbiota 16S Profiles Using Tailored Abundance Filters
Cited by: 19
Author(s): Rodrigo García-López, Fernanda Cornejo‐Granados, Alonso A. López-Zavala, Andrés Cota-Huízar, Rogerio R. Sotelo‐Mundo, Bruno Gómez‐Gil, Adrián Ochoa-Leyva
Software Mentions: 1
Published: over 4 years ago
10.3390/biology9110365
Amino Acid k-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights
Cited by: 20
Author(s): Taha ValizadehAslani, Zhengqiao Zhao, Bahrad A. Sokhansanj, Gail Rosen
Software Mentions: 1
Published: about 5 years ago
10.1534/genetics.120.303093
Machine Learning Techniques for Classifying the Mutagenic Origins of Point Mutations
Cited by: 7
Author(s): Yicheng Zhu, Cheng Soon Ong, Gavin A. Huttley
Software Mentions: 1
Published: over 5 years ago
10.3390/ijms21155542
Comprehensive Analysis of Applicability Domains of QSPR Models for Chemical Reactions
Cited by: 23
Author(s): Assima Rakhimbekova, Timur Madzhidov, Ramil Nugmanov, Timur Gimadiev, Igor I. Baskin, Alexandre Varnek
Software Mentions: 1
Published: over 5 years ago
10.3390/ijms21155308
Virtual Screening of C. Sativa Constituents for the Identification of Selective Ligands for Cannabinoid Receptor 2
Cited by: 7
Author(s): Mikołaj Mizera, Dorota Latek, Judyta Cielecka‐Piontek
Software Mentions: 1
Published: over 5 years ago
10.1186/s13059-017-1217-z
Optimizing complex phenotypes through model-guided multiplex genome engineering
Cited by: 22
Author(s): Gleb Kuznetsov, Daniel B. Goodman, Gabriel T. Filsinger, Matthieu Landon, Nadin Rohland, John Aach, Marc J. Lajoie, George M. Church
Software Mentions: 1
Published: over 8 years ago
10.1186/s13062-020-00278-z
A machine learning framework to determine geolocations from metagenomic profiling
Cited by: 11
Author(s): Lihong Huang, Canqiang Xu, Wenxian Yang, Rongshan Yu
Software Mentions: 1
Published: almost 5 years ago
10.1186/s13059-019-1784-2
A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types
Cited by: 37
Author(s): Maxwell W. Libbrecht, Oscar L. Rodriguez, Zhiping Weng, Jeffrey A. Bilmes, Michael M. Hoffman, William Stafford Noble
Software Mentions: 1
Published: about 6 years ago
10.1093/bioinformatics/btw010
Computational discovery of pathway-level genetic vulnerabilities in non-small-cell lung cancer
Cited by: 12
Author(s): Jonathan H. Young, Michael Peyton, Hyosil Kim, Elizabeth A. McMillan, John D. Minna, Michael A. White, Edward M. Marcotte
Software Mentions: 1
Published: almost 10 years ago
10.1093/bioinformatics/btv529
Improved large-scale prediction of growth inhibition patterns using the NCI60 cancer cell line panel
Cited by: 86
Author(s): Isidro Cortés-Ciriano, Gerard J. P. van Westen, Guillaume Bouvier, Michaël Nilges, John P. Overington, Andreas Bender, Thérèse E. Malliavin
Software Mentions: 1
Published: about 10 years ago
10.1093/bioinformatics/btx806
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
Cited by: 293
Author(s): Kristina Preuer, Richard P. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer
Software Mentions: 1
Published: almost 8 years ago
10.1093/bioinformatics/btaa1102
SoluProt: prediction of soluble protein expression in <i>Escherichia coli</i>
Cited by: 50
Author(s): Jiří Hon, Martin Marusiak, Tomáš Martínek, Antonín Kunka, Jaroslav Zendulka, David Bednář, Jiřı́ Damborský
Software Mentions: 1
Published: almost 5 years ago
10.1128/AEM.00608-19
Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell
Cited by: 3
Author(s): Yutaka Yawata, Tatsunori Kiyokawa, Yasuhiko Kawamura, Tomohiro Hirayama, Kyosuke Takabe, Nobuhiko Nomura
Software Mentions: 1
Published: about 6 years ago
10.1186/s13040-021-00262-x
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism
Cited by: 0
Author(s): Maya Varma, Kelley Paskov, Brianna Chrisman, Min Sun, Jae-Yoon Jung, Nate Stockham, Peter Washington, Dennis P. Wall
Software Mentions: 1
Published: over 4 years ago