pypi: learn | Projects | Ecosyste.ms: Papers

10.1111/1759-7714.13204

Copy number variation in plasma as a tool for lung cancer prediction using Extreme Gradient Boosting (XGBoost) classifier
Cited by: 41
Author(s): Dian Yu, Zhidong Liu, Chen Su, Han Ye, Xinchun Duan, Rui Zhang, Xiaoshuang Liu, Yang Yang, Shaofa Xu
Software Mentions: 2
Published: almost 5 years ago

10.1128/mSphere.00530-20

PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community Structure
Cited by: 16
Author(s): Peter Rubbens, Ruben Props, Frederiek‐Maarten Kerckhof, Nico Boon, Willem Waegeman
Software Mentions: 2
Published: over 3 years ago

10.1002/gps.5483

The revised Addenbrooke's Cognitive Examination can facilitate differentiation of dementia with Lewy bodies from Alzheimer's disease
Cited by: 3
Author(s): Maria A Prats-Sedano, George Savulich, Ajenthan Surendranathan, Paul C. Donaghy, Alan Thomas, James B. Rowe, Li Su, John O’Brien
Software Mentions: 2
Published: almost 4 years ago

10.1155/2019/4253641

Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms
Cited by: 104
Author(s): Habib Dhahri, Eslam Al Maghayreh, Awais Mahmood, Wail S. Elkilani, Mohammed Faisal
Software Mentions: 2
Published: almost 5 years ago

10.1093/database/baab017

Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning
Cited by: 16
Author(s): Eryk Kropiwnicki, John Erol Evangelista, Daniel J. Stein, Daniel J. B. Clarke, Alexander Lachmann, Maxim V. Kuleshov, Minji Jeon, Kathleen M. Jagodnik, Avi Ma’ayan
Software Mentions: 2
Published: over 3 years ago

10.15252/emmm.201910264

Predicting antimicrobial resistance in <i>Pseudomonas aeruginosa</i> with machine learning‐enabled molecular diagnostics
Cited by: 92
Author(s): Ariane Khaledi, Aaron Weimann, Monika Schniederjans, Ehsaneddin Asgari, Tzu‐Hao Kuo, Antonio Oliver, Gabriel Cabot, Axel Kola, Petra Gastmeier, Michael Hogardt, Daniel E Jonas, Mohammad R. K. Mofrad, Andreas Bremges, Alice C. McHardy, Susanne Häußler
Software Mentions: 2
Published: over 4 years ago

10.2196/19679

Analysis of Health Insurance Big Data for Early Detection of Disabilities: Algorithm Development and Validation
Cited by: 3
Author(s): Seung-Hyun Jeong, Tae Rim Lee, Jung Bae Kang, Mun-Taek Choi
Software Mentions: 2
Published: almost 4 years ago

10.3390/e23050553

An Improved Similarity-Based Clustering Algorithm for Multi-Database Mining
Cited by: 1
Author(s): Salim Miloudi, Yulin Wang, Wenjia Ding
Software Mentions: 2
Published: over 3 years ago

10.3390/ijerph16152666

Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium
Cited by: 7
Author(s): Hyejin Park, Kisok Kim
Software Mentions: 2
Published: about 5 years ago

10.1111/febs.15314

On the evolution of the quality of macromolecular models in the PDB
Cited by: 14
Author(s): Dariusz Brzeziński, Zbigniew Dauter, Władek Minor, Mariusz Jaskólski
Software Mentions: 2
Published: over 4 years ago

10.1002/acm2.13154

Differentiation of pulmonary sclerosing pneumocytoma from solid malignant pulmonary nodules by radiomic analysis on multiphasic CT
Cited by: 8
Author(s): Xiaoqiong Ni, Hongkun Yin, Guohua Fan, Dai Shi, Liang Xu, Dan Jin
Software Mentions: 1
Published: over 3 years ago

10.2196/jmir.9840

Detecting Suicidal Ideation on Forums: Proof-of-Concept Study
Cited by: 79
Author(s): Ahmet Emre Aladağ, Serra Müderrisoğlu, Naz Berfu Akbaş, Oğuzhan Zahmacıoğlu, Haluk O. Bingol
Software Mentions: 1
Published: about 6 years ago

10.2196/24473

Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models
Cited by: 13
Author(s): Anietie Andy, Sharath Chandra Guntuku, Srinath Adusumalli, David A. Asch, Peter W. Groeneveld, Lyle Ungar, Raina M. Merchant
Software Mentions: 1
Published: over 3 years ago

10.1002/1878-0261.12732

Serum markers improve current prediction of metastasis development in early‐stage melanoma patients: a machine learning‐based study
Cited by: 17
Author(s): Filippo Mancuso, Sergio Lage, Javier Rasero, José Luís Díaz-Ramón, Aintzane Apraiz, Gorka Pérez‐Yarza, Pilar Ariadna Ezkurra, Cristina Penas, Ana Sánchez-Díez, M.D. García-Vázquez, Jesús Gardeazábal, R. Izu, Karmele Mujika, Jesús M. Cortés, Aintzane Asumendi, María Dolores Boyano
Software Mentions: 1
Published: about 4 years ago

10.1186/s13321-020-00441-8

SMILES-based deep generative scaffold decorator for de-novo drug design
Cited by: 89
Author(s): Josep Arús‐Pous, Atanas Patronov, Esben Jannik Bjerrum, Christian Tyrchan, Jean‐Louis Reymond, Hongming Chen, Ola Engkvist
Software Mentions: 1
Published: over 4 years ago

10.1111/1759-7714.13161

Convolution kernel and iterative reconstruction affect the diagnostic performance of radiomics and deep learning in lung adenocarcinoma pathological subtypes
Cited by: 16
Author(s): Wei Zhao, Wei Zhang, Yingli Sun, Yuxiang Ye, Jiancheng Yang, Wufei Chen, Pan Gao, Jianying Li, Li Cheng, Liang Jin, Peijun Wang, Yanqing Hua, Ming Li
Software Mentions: 1
Published: about 5 years ago

10.1186/s41747-019-0121-6

Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study
Cited by: 11
Author(s): Magda Marcon, Alexander Ciritsis, Cristina Rossi, Anton S. Becker, Nicole Berger, Moritz C. Wurnig, Matthias Wagner, Thomas Frauenfelder, Andreas Boss
Software Mentions: 1
Published: almost 5 years ago

10.1186/s12967-021-02990-4

An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation
Cited by: 27
Author(s): Yihan Zhang, Dong Heon Yang, Zifeng Liu, Chaojin Chen, Mian Ge, Xiang Li, Tongsen Luo, Zhengdong Wu, Chenguang Shi, Bohan Wang, Xiaoshuai Huang, Xiaodong Zhang, Shaoli Zhou, Ziqing Hei
Software Mentions: 1
Published: about 3 years ago

10.1038/s41598-020-67815-8

The identification of sulfide oxidation as a potential metabolism driving primary production on late Noachian Mars
Cited by: 21
Author(s): Michael C. Macey, Mark Fox-Powell, Nisha K. Ramkissoon, Ben Stephens, T. Barton, S. P. Schwenzer, Victoria K. Pearson, C. R. Cousins, Karen Olsson-Francis
Software Mentions: 1
Published: about 4 years ago

10.1002/jmv.26918

Healthcare disparities among anticoagulation therapies for severe COVID‐19 patients in the multi‐site VIRUS registry
Cited by: 6
Author(s): Christian Kirkup, Colin Pawlowski, Arjun Puranik, Ian Conrad, John C. O’Horo, Dina Gomaa, Valerie Banner‐Goodspeed, Jarrod Mosier, I.B. Zabolotskikh, Steven K. Daugherty, Michael A. Bernstein, Howard A. Zaren, Vikas Bansal, Brian Pickering, Andrew D. Badley, Rahul Kashyap, AJ Venkatakrishnan, Venky Soundararajan
Software Mentions: 1
Published: over 3 years ago

10.3389/fnbeh.2020.610029

Analysing Head-Thorax Choreography During Free-Flights in Bumblebees
Cited by: 5
Author(s): Luise Odenthal, Charlotte Doussot, Stefan Meyer, O. Bertrand
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-020-71257-7

ADRML: anticancer drug response prediction using manifold learning
Cited by: 4
Author(s): Fatemeh Ahmadi Moughari, Changiz Eslahchi
Software Mentions: 1
Published: about 4 years ago

10.1002/cmdc.201500592

Subtle Structural Differences Trigger Inhibitory Activity of Propafenone Analogues at the Two Polyspecific ABC Transporters: P-Glycoprotein (P-gp) and Breast Cancer Resistance Protein (BCRP)
Cited by: 13
Author(s): Theresa Schwarz, Floriane Montanari, Anna Cseke, Katrin Wlcek, Lene Visvader, Sarah Palme, Peter Chiba, Karl Kuchler, Ernst Urban, Gerhard F. Ecker
Software Mentions: 1
Published: over 8 years ago

10.3389/fncom.2021.627357

Layer-Skipping Connections Improve the Effectiveness of Equilibrium Propagation on Layered Networks
Cited by: 0
Author(s): Jimmy Gammell, Sonia Buckley, Sae Woo Nam, Adam N. McCaughan
Software Mentions: 1
Published: over 3 years ago

10.3389/fgene.2021.701076

IntSplice2: Prediction of the Splicing Effects of Intronic Single-Nucleotide Variants Using LightGBM Modeling
Cited by: 2
Author(s): Jun‐ichi Takeda, Sae Fukami, Akira Tamura, Akinobu Shibata, Kinji Ohno
Software Mentions: 1
Published: about 3 years ago

10.1038/s41598-020-79922-7

FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance
Cited by: 4
Author(s): Virginia Aglieri, Bastien Cagna, Lionel Velly, Sylvain Takerkart, Pascal Belin
Software Mentions: 1
Published: over 3 years ago

10.1093/bioinformatics/btx525

Orthologue chemical space and its influence on target prediction
Cited by: 27
Author(s): Lewis Mervin, Krishna C. Bulusu, Leen Kalash, Avid M. Afzal, Fredrik Svensson, Mike Firth, Ian P. Barrett, Ola Engkvist
Software Mentions: 1
Published: about 7 years ago

10.1038/s41598-021-86455-0

Trivial and nontrivial error sources account for misidentification of protein partners in mutual information approaches
Cited by: 0
Author(s): Camila Pontes, Miguel de Souza Andrade, José Fiorote, Werner Treptow
Software Mentions: 1
Published: over 3 years ago

10.15252/emmm.201708166

Inhibition of Drp1/Fis1 interaction slows progression of amyotrophic lateral sclerosis
Cited by: 106
Author(s): Amit U. Joshi, Nay L. Saw, Hannes Vogel, Anna D Cunnigham, Mehrdad Shamloo, Daria Mochly‐Rosen
Software Mentions: 1
Published: over 6 years ago

10.1021/acs.biochem.1c00092

Discovery of a New, Recurrent Enzyme in Bacterial Phosphonate Degradation: (<i>R</i>)-1-Hydroxy-2-aminoethylphosphonate Ammonia-lyase
Cited by: 15
Author(s): Erika Zangelmi, Toda Stanković, Marco Malatesta, Domenico Acquotti, Katharina Pallitsch, Alessio Peracchi
Software Mentions: 1
Published: over 3 years ago

10.3389/fmolb.2021.647449

Large-Scale Computational Discovery of Binding Motifs in tRNA Fragments
Cited by: 3
Author(s): Lingyu Guan, Vincent Lam, Andrey Grigoriev
Software Mentions: 1
Published: about 3 years ago

10.7554/eLife.64934

Dorsal periaqueductal gray ensembles represent approach and avoidance states
Cited by: 19
Author(s): Fernando Mcv Reis, Johannes Y Lee, Sandra Maesta‐Pereira, Peter J Schuette, Meghmik Chakerian, Jinhan Liu, Mimi Q La-Vu, Brooke C Tobias, Juliane Midori Ikebara, Alexandre Hiroaki Kihara, Newton S. Canteras, Jennifer L. Kao, Avishek Adhikari
Software Mentions: 1
Published: over 3 years ago

10.3389/fnins.2019.01396

A Preliminary Study of Knowledge Transfer in Multi-Classification Using Gene Expression Programming
Cited by: 7
Author(s): Tingyang Wei, Jinghui Zhong
Software Mentions: 1
Published: over 4 years ago

10.1002/lrh2.10241

Subphenotyping depression using machine learning and electronic health records
Cited by: 9
Author(s): Zhenxing Xu, Fei Wang, Prakash Adekkanattu, Budhaditya Bose, Veer Vekaria, Pascal Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Jennifer A. Pacheco, Luke V. Rasmussen, Jie Xu, George S. Alexopoulos, Jyotishman Pathak
Software Mentions: 1
Published: about 4 years ago

10.1002/brb3.1869

Longitudinal analysis of brain structure using existence probability
Cited by: 1
Author(s): Norihide Maikusa, Tatsuki Fukami, Hiroshi Matsuda, Japanese Alzheimer’s Disease Neuroimaging Initiative
Software Mentions: 1
Published: almost 4 years ago

10.3390/s19061468

Mass Surveilance of C. elegans—Smartphone-Based DIY Microscope and Machine-Learning-Based Approach for Worm Detection
Cited by: 15
Author(s): Julia Bornhorst, Eike Jannik Nustede, Sebastian Fudickar
Software Mentions: 1
Published: over 5 years ago

10.3389/frobt.2021.709952

Gaze Gesture Recognition by Graph Convolutional Networks
Cited by: 5
Author(s): Lei Shi, Cosmin Copot, Steve Vanlanduit
Software Mentions: 1
Published: about 3 years ago

10.3390/s20051393

Application of Scikit and Keras Libraries for the Classification of Iron Ore Data Acquired by Laser-Induced Breakdown Spectroscopy (LIBS)
Cited by: 36
Author(s): Yaqi Yang, Xiaojian Hao, Lili Zhang, Long Ren
Software Mentions: 1
Published: over 4 years ago

10.1002/ece3.7845

Using comprehensive machine‐learning models to classify complex morphological characters
Cited by: 3
Author(s): Dequn Teng, Fengyuan Li, W. Zhang
Software Mentions: 1
Published: about 3 years ago

10.1186/s12886-021-02104-0

Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning
Cited by: 6
Author(s): Zenghui Qian, Xiaoling Xie, Jianlong Yang, Hongfei Ye, Zhilei Wang, Jili Chen, Hui Liu, Jianheng Liang, Lihong Jiang, Ce Zheng, Chen Xu
Software Mentions: 1
Published: almost 3 years ago

10.3390/s21010220

Computer-Aided Diagnosis of Alzheimer’s Disease through Weak Supervision Deep Learning Framework with Attention Mechanism
Cited by: 31
Author(s): Shuang Liang, Yu Gu
Software Mentions: 1
Published: over 3 years ago

10.3390/healthcare8030247

Prediction of Type 2 Diabetes Risk and Its Effect Evaluation Based on the XGBoost Model
Cited by: 52
Author(s): Liyang Wang, Xiaoya Wang, Angxuan Chen, Xian Jin, Huilian Che
Software Mentions: 1
Published: about 4 years ago

10.15252/msb.20198875

Multiplex transcriptional characterizations across diverse bacterial species using cell‐free systems
Cited by: 48
Author(s): Sung Sun Yim, Nathan I. Johns, Jimin Park, António Gomes, Ross M. McBee, Miles Richardson, Carlotta Ronda, Sway P. Chen, David Garenne, Vincent Noireaux, Harris H. Wang
Software Mentions: 1
Published: about 5 years ago

10.1002/hbm.24867

Multivariate models of brain volume for identification of children and adolescents with fetal alcohol spectrum disorder
Cited by: 16
Author(s): Graham Little, Christian Beaulieu
Software Mentions: 1
Published: almost 5 years ago

10.3390/s21041081

Gait Phase Detection Based on Muscle Deformation with Static Standing-Based Calibration
Cited by: 4
Author(s): Tetsuo Miyake, Shozo Yamamoto, Satoshi Hosono, Satoshi Funabashi, Zhengxue Cheng, Cheng Zhang, Emi Tamaki, Shigeki Sugano
Software Mentions: 1
Published: over 3 years ago

10.1002/hbm.24423

Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large‐scale multi‐sample study
Cited by: 85
Author(s): Walter Hugo Lopez Pinaya, Andrea Mechelli, João Ricardo Sato
Software Mentions: 1
Published: almost 6 years ago

10.1002/hbm.24986

Decentralized dynamic functional network connectivity: State analysis in collaborative settings
Cited by: 8
Author(s): Bradley T. Baker, Eswar Damaraju, Rogers F. Silva, Sergey M. Plis, Vince D. Calhoun
Software Mentions: 1
Published: over 4 years ago

10.1002/hbm.25198

Motion opponency examined throughout visual cortex with multivariate pattern analysis of <scp>fMRI</scp> data
Cited by: 4
Author(s): Andrew E. Silva, Benjamin Thompson, Zili Liu
Software Mentions: 1
Published: about 4 years ago

10.3390/biology10070577

Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission
Cited by: 1
Author(s): Daniel Miner, Florentin Wörgötter, Christian Tetzlaff, Michael Fauth
Software Mentions: 1
Published: about 3 years ago

10.1016/j.dib.2021.106720

Metagenomics data of microbial communities of natural organic matter from the dispersion train of sulfide tailings
Cited by: 1
Author(s): Anton V. Korzhuk, I. N. Myagkaya, А. С. Розанов, Nikita I. Ershov, B. Yu. Saryg-ool, V.I. Malov, M. A. Gustaytis, Aleksandra A. Shipova, Е. В. Лазарева, S. E. Peltek
Software Mentions: 1
Published: over 3 years ago

10.1002/hbm.24899

Improved prediction of brain age using multimodal neuroimaging data
Cited by: 70
Author(s): Xin Niu, Fengqing Zhang, John Kounios, Hualou Liang
Software Mentions: 1
Published: almost 5 years ago

10.1002/hbm.25215

Prediction of trust propensity from intrinsic brain morphology and functional connectome
Cited by: 26
Author(s): Chunliang Feng, Zhiyuan Zhu, Zaixu Cui, Vadim Ushakov, Jean‐Claude Dreher, Wenbo Luo, Ruolei Gu, Xia Wu, Frank Krueger
Software Mentions: 1
Published: almost 4 years ago

10.1002/jbm4.10337

A Novel Fracture Prediction Model Using Machine Learning in a Community‐Based Cohort
Cited by: 33
Author(s): Sung Hye Kong, Daehwan Ahn, Buomsoo Raymond Kim, Karthik Srinivasan, Sudha Ram, Hana Kim, A Ram Hong, Jung Hee Kim, Nam H. Cho, Chan Soo Shin
Software Mentions: 1
Published: over 4 years ago

Projects: pypi: learn

Papers Mentioning learn 154