pypi: scikit-learn | Projects | Ecosyste.ms: Papers

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: almost 5 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 5 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 3 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 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 5 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 3 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 10 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 8 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 4 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: about 6 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: about 5 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 3 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 9 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 3 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: almost 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: about 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 4 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 3 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 6 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 6 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 3 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 3 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 5 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 5 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 4 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: over 3 years ago

10.3389/fncir.2019.00038

Neural Correlates of Anesthesia in Newborn Mice and Humans
Cited by: 25
Author(s): Mattia Chini, Sabine Gretenkord, Johanna K. Kostka, Jastyn A. Pöpplau, Laura Cornelissen, Charles B. Berde, Ileana L. Hanganu‐Opatz, Sebastian H. Bitzenhofer
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 5 years ago

10.3389/fnana.2021.643067

Deep Learning-Based Classification of GAD67-Positive Neurons Without the Immunosignal
Cited by: 6
Author(s): Kotaro Yamashiro, Jiayan Liu, Nobuyoshi Matsumoto, Yuji Ikegaya
Software Mentions: 1
Published: over 3 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 5 years ago

10.3389/fninf.2020.00006

Prediction of Pilot's Reaction Time Based on EEG Signals
Cited by: 17
Author(s): Bartosz Binias, Dariusz Myszor, Henryk Palus, Krzysztof A. Cyran
Software Mentions: 1
Published: almost 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 3 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 4 years ago

10.3389/fninf.2021.577451

Evaluation of Task fMRI Decoding With Deep Learning on a Small Sample Dataset
Cited by: 5
Author(s): Sunao Yotsutsuji, Miaomei Lei, Hiroyuki Akama
Software Mentions: 1
Published: almost 4 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 4 years ago

10.3389/fninf.2018.00094

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface
Cited by: 15
Author(s): Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper‐Gonzàlez, Simona Bottani, Stanley Durrleman, Marie‐Odile Habert, Olivier Colliot
Software Mentions: 1
Published: almost 6 years ago

10.3389/fninf.2018.00064

APPIAN: Automated Pipeline for PET Image Analysis
Cited by: 11
Author(s): Thomas Funck, Kevin Larcher, Paule-Joanne Toussaint, Alan C. Evans, Alexander Thiel
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 9 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 9 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 7 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 7 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 4 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 5 years ago

10.3389/fneur.2021.613967

Diagnostic Performance of MRI Volumetry in Epilepsy Patients With Hippocampal Sclerosis Supported Through a Random Forest Automatic Classification Algorithm
Cited by: 8
Author(s): Juan Pablo Princich, Patricio Andrés Donnelly-Kehoe, Alvaro Deleglise, Mariana Nahir Vallejo-Azar, Guido Orlando Pascariello, Pablo Seoane, Jose Gabriel Veron Do Santos, Santiago Collavini, Alejandro Nasimbera, Silvia Kochen
Software Mentions: 1
Published: over 3 years ago

10.3389/fneur.2020.548305

Distinguishing Focal Cortical Dysplasia From Glioneuronal Tumors in Patients With Epilepsy by Machine Learning
Cited by: 6
Author(s): Yi Guo, Yushan Liu, Wenjie Ming, Zhongjin Wang, Junming Zhu, Chen Yang, Lijun Yao, Meiping Ding, Chun‐Hong Shen
Software Mentions: 1
Published: almost 4 years ago

10.3389/fneur.2021.653483

The Subarachnoid Hemorrhage–Weather Myth: A Long-Term Big Data and Deep Learning Analysis
Cited by: 1
Author(s): Moritz Helsper, Aashish Agarwal, Ahmet Aker, Annika Herten, Marvin Darkwah-Oppong, Oliver Gembruch, Cornelius Deuschl, Michael Forsting, Philipp Dammann, Daniela Pierscianek, Ramazan Jabbarli, Ulrich Sure, Karsten H. Wrede
Software Mentions: 1
Published: over 3 years ago

10.3389/fneur.2020.538052

Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique
Cited by: 8
Author(s): Nengzhi Xia, Jie Chen, Chenyi Zhan, Xiaoyang Jia, Yingying Xiang, Yongchun Chen, Yuxia Duan, Lan Li, Boli Lin, Chao Chen, Bing Zhao, Xiaoyu Chen, Yunjun Yang, Jinjin Liu
Software Mentions: 1
Published: about 4 years ago

10.3389/fneur.2018.00975

Identification of Mild Cognitive Impairment From Speech in Swedish Using Deep Sequential Neural Networks
Cited by: 35
Author(s): Charalambos Themistocleous, Marie Eckerström, Dimitrios Kokkinakis
Software Mentions: 1
Published: about 6 years ago

10.3389/fneur.2019.01173

Quantifying the Metabolic Signature of Multiple Sclerosis by in vivo Proton Magnetic Resonance Spectroscopy: Current Challenges and Future Outlook in the Translation From Proton Signal to Diagnostic Biomarker
Cited by: 35
Author(s): Kelley M. Swanberg, Karl Landheer, David Pitt, Christoph Juchem
Software Mentions: 1
Published: about 5 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 4 years ago

10.3389/fnbot.2021.704226

A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction With Exoskeletons
Cited by: 3
Author(s): Baichun Wei, Zhen Ding, Chunzhi Yi, Hao Guo, Zhipeng Wang, Jianfei Zhu, Feng Jiang
Software Mentions: 1
Published: over 3 years ago

10.3389/fnbot.2021.659311

Toward More Robust Hand Gesture Recognition on EIT Data
Cited by: 5
Author(s): David P. Leins, Christian Gibas, Rainer Brück, Robert Haschke
Software Mentions: 1
Published: over 3 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 4 years ago

10.3389/fnins.2021.697870

Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review
Cited by: 19
Author(s): Meijie Liu, Baojuan Li, Dewen Hu
Software Mentions: 1
Published: about 3 years ago

10.3389/fnins.2021.611962

Adaptive Filtering for Improved EEG-Based Mental Workload Assessment of Ambulant Users
Cited by: 19
Author(s): Olivier Rosanne, Isabela Albuquerque, Raymundo Cassani, Jean‐François Gagnon, Sébastien Tremblay, Tiago H. Falk
Software Mentions: 1
Published: over 3 years ago

10.3389/fnins.2021.669595

Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases
Cited by: 13
Author(s): Jianfeng Wu, Qunxi Dong, Jie Gui, Jie Zhang, Yi Su, Kewei Chen, Paul M. Thompson, Richard J. Caselli, Eric M. Reiman, Jieping Ye, Yalin Wang
Software Mentions: 1
Published: over 3 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 4 years ago

10.3389/fnins.2019.01023

Investigating the Effects of Mechanical Stimulation on Retinal Ganglion Cell Spontaneous Spiking Activity
Cited by: 10
Author(s): Marica Marrese, Davide Lonardoni, Fabio Boi, Hedde van Hoorn, Alessandro Maccione, Stefano Zordan, Davide Iannuzzi, Luca Berdondini
Software Mentions: 1
Published: about 5 years ago

10.3389/fnins.2015.00328

Identification of resilient individuals and those at risk for performance deficits under stress
Cited by: 17
Author(s): Brent Winslow, Meredith Carroll, Jonathan W. Martin, Glenn Surpris, George L. Chadderdon
Software Mentions: 1
Published: about 9 years ago

10.3389/fnins.2014.00167

Which fMRI clustering gives good brain parcellations?
Cited by: 248
Author(s): Bertrand Thirion, Gaël Varoquaux, Elvis Dohmatob, Jean‐Baptiste Poline
Software Mentions: 1
Published: over 10 years ago

10.3389/fnins.2020.00593

EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization
Cited by: 45
Author(s): Luis Alfredo Moctezuma, Marta Molinas
Software Mentions: 1
Published: over 4 years ago

10.3389/fnins.2021.661504

Multiparametric MRI for Characterization of the Basal Ganglia and the Midbrain
Cited by: 4
Author(s): Till Schneider, Jackie Ma, Patrick Wagner, Nicolas G.R. Behl, Armin M. Nagel, Mark E. Ladd, Sabine Heiland, Martin Bendszus
Software Mentions: 1
Published: over 3 years ago

10.3389/fnins.2021.664490

Imaging Time Series of Eye Tracking Data to Classify Attentional States
Cited by: 7
Author(s): Lisa-Marie Vortmann, Jannes Knychalla, Sonja Annerer‐Walcher, Mathias Benedek, Felix Putze
Software Mentions: 1
Published: over 3 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 4 years ago

10.3389/fnins.2018.00038

Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional Connectivity
Cited by: 45
Author(s): Xiang-Fei Geng, Junhai Xu, Baolin Liu, Yonggang Shi
Software Mentions: 1
Published: almost 7 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 3 years ago

10.3389/fnins.2020.588357

Hyperscanning EEG and Classification Based on Riemannian Geometry for Festive and Violent Mental State Discrimination
Cited by: 5
Author(s): Cédric Simar, Ana Maria Cebolla, Gaëlle Chartier, Mathieu Petieau, Gianluca Bontempi, Alain Berthoz, Guy Chéron
Software Mentions: 1
Published: almost 4 years ago

10.3389/fnins.2020.605697

Machine Learning-Based Identification of Suicidal Risk in Patients With Schizophrenia Using Multi-Level Resting-State fMRI Features
Cited by: 8
Author(s): Bartosz Bohaterewicz, Anna Maria Sobczak, Igor T. Podolak, Bartosz Wójcik, Dagmara Mętel, Adrian Andrzej Chrobak, Magdalena Fa Frowicz, Marcin Siwek, Dominika Dudek, Tadeusz Marek
Software Mentions: 1
Published: almost 4 years ago

10.1186/s13040-021-00276-5

Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
Cited by: 11
Author(s): Zhixuan Zeng, Shuo Yao, Jianfei Zheng, Xun Gong
Software Mentions: 1
Published: over 3 years ago

10.3389/fnins.2019.00891

Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder
Cited by: 32
Author(s): Agamemnon Krasoulis, Sethu Vijayakumar, Kianoush Nazarpour
Software Mentions: 1
Published: about 5 years ago

10.3389/fnins.2018.00967

Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson’s Disease
Cited by: 13
Author(s): Óscar Peña‐Nogales, Timothy M. Ellmore, Rodrigo de Luis‐García, Jessika Suescun, Mya C. Schiess, Luca Giancardo
Software Mentions: 1
Published: almost 6 years ago

10.3389/fnins.2020.558434

Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive Impairment
Cited by: 10
Author(s): Lulu Zhang, Huangjing Ni, Yu Zhang, Jun Wang, Qin Jiang, Fengzhen Hou, Albert C. Yang, Alzheimer’s Disease Neuroimaging Initiative
Software Mentions: 1
Published: about 4 years ago

10.3389/fonc.2020.585767

Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer
Cited by: 23
Author(s): Xiangchun Liu, Qi Yang, Chunyu Zhang, Jianqing Sun, Kan He, Yunming Xie, Yiying Zhang, Yu Fu, Huimao Zhang
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12918-018-0546-1

In silico drug combination discovery for personalized cancer therapy
Cited by: 42
Author(s): Minji Jeon, Sunkyu Kim, Sungjoon Park, Heewon Lee, Jaewoo Kang
Software Mentions: 1
Published: over 6 years ago

10.3389/fonc.2020.607923

Deep Neural Networks Outperform the CAPRA Score in Predicting Biochemical Recurrence After Prostatectomy
Cited by: 6
Author(s): P. Sargos, Nicolas Leduc, Nicolas Giraud, Giorgio Gandaglia, M. Roumiguié, Guillaume Ploussard, François Rozet, M. Soulié, Romain Mathiéu, P. Mongiat Artus, Tamim Niazi, Vincent Vinh-Hung, Jean-Baptiste Beauval
Software Mentions: 1
Published: almost 4 years ago

10.3389/fonc.2020.01676

Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in Gliomas
Cited by: 18
Author(s): Min Gao, Siying Huang, Xuequn Pan, Xiangyun Liao, Ru Yang, Jun Liu
Software Mentions: 1
Published: about 4 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 5 years ago

10.3389/fonc.2021.642945

Prediction of Target-Drug Therapy by Identifying Gene Mutations in Lung Cancer With Histopathological Stained Image and Deep Learning Techniques
Cited by: 6
Author(s): Kaimei Huang, Zhiyi Mo, Wen Zhu, Bo Liao, Yachao Yang, Fang‐Xiang Wu
Software Mentions: 1
Published: over 3 years ago

10.3389/fonc.2020.00937

Radiomics Features Predict CIC Mutation Status in Lower Grade Glioma
Cited by: 15
Author(s): Luyuan Zhang, Felipe Giuste, Juan C. Vizcarra, Xuejun Li, David Gutman
Software Mentions: 1
Published: over 4 years ago

10.3389/fonc.2020.01186

CT-Based Deep Learning Model for Invasiveness Classification and Micropapillary Pattern Prediction Within Lung Adenocarcinoma
Cited by: 15
Author(s): Huang Ding, Wenjie Xia, Lei Zhang, Qixing Mao, Bowen Cao, Yihang Zhao, Lin Xu, Feng Jiang, Gaochao Dong
Software Mentions: 1
Published: over 4 years ago

10.3389/fonc.2020.00752

Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base
Cited by: 22
Author(s): Yang Zhang, Lan Shang, Chaoyue Chen, Xuelei Ma, Xuejin Ou, Jian Wang, Fan Xia, Jianguo Xu
Software Mentions: 1
Published: over 4 years ago

10.3389/fonc.2021.709137

Prediction of EGFR Mutation Status Based on 18F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma
Cited by: 8
Author(s): Guang Yin, Ziyang Wang, Yan Song, Xiaofeng Li, Yiwen Chen, Lihong Zhu, Qian Su, Diansheng Dong, Wengui Xu
Software Mentions: 1
Published: over 3 years ago

10.3389/fonc.2020.608598

Machine Learning for Histologic Subtype Classification of Non-Small Cell Lung Cancer: A Retrospective Multicenter Radiomics Study
Cited by: 16
Author(s): Fang Yang, Wei Chen, Haifeng Wei, Xianru Zhang, Shuanghu Yuan, Qiao Xu, Yen‐Wei Chen
Software Mentions: 1
Published: almost 4 years ago

10.3389/fonc.2019.01338

The Diagnostic Value of Radiomics-Based Machine Learning in Predicting the Grade of Meningiomas Using Conventional Magnetic Resonance Imaging: A Preliminary Study
Cited by: 47
Author(s): Chaoyue Chen, Xinyi Guo, Jian Wang, Wen Guo, Xuelei Ma, Jianguo Xu
Software Mentions: 1
Published: almost 5 years ago

10.3389/fonc.2021.639062

Differentiation of Glioma Mimicking Encephalitis and Encephalitis Using Multiparametric MR-Based Deep Learning
Cited by: 9
Author(s): Wenli Wu, Jiewen Li, Junyong Ye, Qi Wang, Wentao Zhang, Shengsheng Xu
Software Mentions: 1
Published: over 3 years ago

10.1186/s12919-018-0140-y

Methods for detecting methylation by SNP interaction in GAW20 simulation
Cited by: 2
Author(s): E. Warwick Daw, James E. Hicks, Petra Lenzini, Shiow J. Lin, Judy Wang, Christine A. Williams, Ping An, Michael A. Province, Aldi T. Kraja
Software Mentions: 1
Published: about 6 years ago

10.3390/ijms21207501

How Machine Learning Methods Helped Find Putative Rye Wax Genes Among GBS Data
Cited by: 3
Author(s): Magdalena Góralska, Jan Bińkowski, Natalia Lenarczyk, Anna Bienias, Agnieszka Grądzielewska, Ilona Czyczyło-Mysza, Kamila Kapłoniak, Stefan Stojałowski, Beata Myśków
Software Mentions: 1
Published: about 4 years ago

10.1186/s12883-018-1198-x

The Norwegian Cognitive impairment after stroke study (Nor-COAST): study protocol of a multicentre, prospective cohort study
Cited by: 33
Author(s): Pernille Thingstad, Torunn Askim, Mona K. Beyer, Geir Bråthen, Hanne Ellekjær, Hege Ihle‐Hansen, Anne Brita Knapskog, Stian Lydersen, Ragnhild Munthe-Kaas, Halvor Næss, Sarah T. Pendlebury, Yngve Müller Seljeseth, Ingvild Saltvedt
Software Mentions: 1
Published: almost 6 years ago

10.1186/s12882-020-01980-w

Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study
Cited by: 5
Author(s): Lijuan Wu, Yong Hu, Xiangzhou Zhang, Weiqi Chen, Alan Yu, John A. Kellum, Lemuel R. Waitman, Мэй Лю
Software Mentions: 1
Published: over 4 years ago

10.3389/fonc.2021.638262

Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis
Cited by: 15
Author(s): Alix de Causans, Alexandre Carré, Alexandre Roux, Arnault Tauziède‐Espariat, Samy Ammari, Edouard Dezamis, Frédéric Dhermain, Sylvain Reuzé, Éric Deutsch, Catherine Oppenheim, Pascale Varlet, Johan Pallud, Myriam Edjlali, Charlotte Robert
Software Mentions: 1
Published: over 3 years ago

10.1186/s12874-021-01242-9

Waist circumference prediction for epidemiological research using gradient boosted trees
Cited by: 4
Author(s): Weihong Zhou, Spencer Maxwell Eckler, Andrew Barszczyk, Alex Waese-Perlman, Yingjie Wang, Xiaoping Gu, Feng Zhang, Yongjun Peng, Kang Lee
Software Mentions: 1
Published: over 3 years ago

10.3389/fped.2020.570834

Comparison of Machine Learning Models for Prediction of Initial Intravenous Immunoglobulin Resistance in Children With Kawasaki Disease
Cited by: 4
Author(s): Yasutaka Kuniyoshi, Haruka Tokutake, Natsuki Takahashi, Azusa Kamura, Sumie Yasuda, M. Tashiro
Software Mentions: 1
Published: almost 4 years ago

10.3389/fphar.2017.00816

Novel Two-Step Classifier for Torsades de Pointes Risk Stratification from Direct Features
Cited by: 34
Author(s): Jaimit Parikh, Viatcheslav Gurev, John Jeremy Rice
Software Mentions: 1
Published: about 7 years ago

10.3389/fphar.2018.01036

Identification of Antioxidant Proteins With Deep Learning From Sequence Information
Cited by: 12
Author(s): Lifen Shao, Hui Gao, Zhen Liu, Juan Feng, Lixia Tang, Hao Lin
Software Mentions: 1
Published: about 6 years ago

10.1186/s12911-015-0206-y

Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods
Cited by: 50
Author(s): Alexander Decruyenaere, Philippe Decruyenaere, Patrick Peeters, Frank Vermassen, Tom Dhaene, Ivo Couckuyt
Software Mentions: 1
Published: about 9 years ago

10.3389/fphar.2019.01570

Chinese Herbal Medicine (MaZiRenWan) Improves Bowel Movement in Functional Constipation Through Down-Regulating Oleamide
Cited by: 9
Author(s): Tao Huang, Ling Zhao, Chengyuan Lin, Lin Lü, Ziwan Ning, Dong-Dong Hu, Linda L. D. Zhong, Zhijun Yang, Zhaoxiang Bian
Software Mentions: 1
Published: almost 5 years ago

10.3389/fphar.2020.00069

Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased Datasets
Cited by: 71
Author(s): Jincai Yang, Cheng Shen, Niu Huang
Software Mentions: 1
Published: over 4 years ago

10.3389/fphar.2019.00913

Identification of Novel Antibacterials Using Machine Learning Techniques
Cited by: 27
Author(s): Yan A. Ivanenkov, Alex Zhavoronkov, R. S. Yamidanov, Ilya А. Osterman, Петр В. Сергиев, Vladimir Aladinskiy, Anastasia V. Aladinskaya, Victor A Terentiev, Mark S. Veselov, Andrey A. Ayginin, В. Г. Карцев, Dmitry A. Skvortsov, А. В. Чемерис, Alexey Kh Baimiev, Alina A. Sofronova, Alexander S. Malyshev, Gleb I. Filkov, Dmitry S. Bezrukov, Bogdan Zagribelnyy, Evgeny Putin, Maria M Puchinina, Olga А. Dontsova
Software Mentions: 1
Published: about 5 years ago

10.3389/fphar.2020.00112

EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction
Cited by: 13
Author(s): Fangping Wan, Shuya Li, Tingzhong Tian, Yipin Lei, Dan Zhao, Jianyang Zeng
Software Mentions: 1
Published: over 4 years ago

10.1007/s10439-020-02591-0

Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI Examination
Cited by: 2
Author(s): Minna Husso, Isaac O. Afara, Mikko J. Nissi, Antti Kuivanen, Paavo Halonen, Miikka Tarkia, Jarmo Teuho, Virva Saunavaara, Pauli Vainio, Petri Sipola, Hannu Manninen, Seppo Ylä‐Herttuala, Juhani Knuuti, Juha Töyräs
Software Mentions: 1
Published: over 4 years ago

Projects: pypi: scikit-learn

Papers Mentioning scikit-learn 2,431