医学 AI - arXivDaily 专题

2104.00739 2021-04-05 cs.SE cs.AI cs.LG cs.PL q-bio.OT 60%

Formal Methods for the Informal Engineer: Workshop Recommendations

Gopal Sarma, James Koppel, Gregory Malecha, Patrick Schultz, Eric Drexler, Ramana Kumar, Cody Roux, Philip Zucker

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 6 pages

2102.13278 2021-03-01 stat.ML cs.LG q-bio.QM stat.ME 60%

sJIVE: Supervised Joint and Individual Variation Explained

Elise F. Palzer, Christine Wendt, Russell Bowler, Craig P. Hersh, Sandra E. Safo, Eric F. Lock

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 23 pages, 8 tables, 3 figures

2012.05716 2021-02-11 q-bio.QM cs.LG 60%

Utilising Graph Machine Learning within Drug Discovery and Development

Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 19 pages, 7 figures, 2 tables

2101.05546 2021-01-15 q-bio.GN cs.LG 60%

Feature reduction for machine learning on molecular features: The GeneScore

Alexander Denker, Anastasia Steshina, Theresa Grooss, Frank Ueckert, Sylvia Nürnberg

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 11 pages, 9 figures, 4 tables

2004.08919 2020-12-11 cs.LG q-bio.QM stat.ML 60%

DeepPurpose: a Deep Learning Library for Drug-Target Interaction Prediction

Kexin Huang, Tianfan Fu, Lucas Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments Published in Bioinformatics (2020)

2004.11424 2020-12-10 q-bio.QM cs.LG 60%

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction

Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments Bioinformatics, 2020

2011.10998 2020-11-24 q-bio.GN cs.LG 60%

Using ontology embeddings for structural inductive bias in gene expression data analysis

Maja Trębacz, Zohreh Shams, Mateja Jamnik, Paul Scherer, Nikola Simidjievski, Helena Andres Terre, Pietro Liò

专题命中生物医学文本：diagnosis(abstract)；分类 cs.LG、q-bio

Comments 4 pages + 2 page references, 15th Machine Learning in Computational Biology (MLCB) meeting, 2020

1911.10241 2020-10-05 q-bio.QM cs.LG stat.ML 60%

Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles

Samuel G. Finlayson, Matthew B. A. McDermott, Alex V. Pickering, Scott L. Lipnick, Isaac S. Kohane

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments Accepted for oral presentation at the Pacific Symposium of Biocomputing, 2021

2009.04524 2020-09-11 cs.LG q-bio.QM 60%

Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN

Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

2006.14707 2020-06-29 cs.LG q-bio.QM stat.ML 60%

Machine-Learning Driven Drug Repurposing for COVID-19

Semih Cantürk, Aman Singh, Patrick St-Amant, Jason Behrmann

专题命中生物医学文本：pathology(abstract)；分类 cs.LG、q-bio

Comments Submitted to NeurIPS 2020. 11 pages, 3 figures, 5 tables, 12 pages of appendices

2004.14842 2020-05-19 cs.LG q-bio.QM stat.ML 60%

Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding

Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments Accepted at IJCNN 2020

1907.12268 2020-04-15 cs.LG cs.IT math.IT q-bio.QM stat.ME stat.ML 60%

Discovering Association with Copula Entropy

Jian Ma

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments Minor revision. The code is available at https://github.com/majianthu/copent

2003.05776 2020-03-13 q-bio.QM cs.LG stat.ML 60%

A deep belief network-based method to identify proteomic risk markers for Alzheimer disease

Ning An, Liuqi Jin, Huitong Ding, Jiaoyun Yang, Jing Yuan

专题命中生物医学文本：diagnosis(abstract)；分类 cs.LG、q-bio

2003.00009 2020-03-03 q-bio.QM cs.LG stat.ML 60%

Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers

Yan Ge, Philipp Rosendahl, Claudio Durán, Nicole Töpfner, Sara Ciucci, Jochen Guck, Carlo Vittorio Cannistraci

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 13 pages, 3 figures, 4 tables

Journal ref IEEE/ACM Trans. Comput. Biol. Bioinform (2019)

2001.00295 2020-01-03 cs.CL 60%

Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge

Huiwei Zhou, Shixian Ning, Yunlong Yang, Zhuang Liu, Chengkun Lang, Yingyu Lin

专题命中生物医学文本：biomedical(abstract,comments)

Comments Published on Journal of Biomedical Informatics, 13 pages

Journal ref Journal of Biomedical Informatics, 2018, 84:171-178

1909.04169 2019-09-11 q-bio.QM cs.LG q-bio.GN 60%

OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data

Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange

专题命中生物医学文本：diagnosis(abstract)；分类 cs.LG、q-bio

Comments In proc. of 19th IEEE International Conference on Bioinformatics and Bioengineering(IEEE BIBE 2019)

Journal ref IEEE International Conference on Bioinformatics and Bioengineering(IEEE BIBE 2019)

1909.00337 2019-09-04 stat.ML cs.LG q-bio.GN 60%

Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge

Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 13 pages, 4 figures

1906.00537 2019-06-04 q-bio.GN cs.LG 60%

Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning

Tianle Ma, Aidong Zhang

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 12 pages, 4 figures

1905.13105 2019-05-31 cs.LG q-bio.QM stat.ML 60%

ImJoy: an open-source computational platform for the deep learning era

Wei Ouyang, Florian Mueller, Martin Hjelmare, Emma Lundberg, Christophe Zimmer

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

1902.09694 2019-02-27 stat.ML cs.LG q-bio.QM stat.AP 60%

Optimal Clustering with Missing Values

Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

1807.00123 2018-10-22 q-bio.QM cs.CE cs.LG stat.ML 60%

Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

Marinka Zitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Journal ref Information Fusion 50 (2019) 71-91

1809.01625 2018-09-06 stat.ML cs.LG q-bio.GN 60%

Gene Shaving using influence function of a kernel method

Md. Ashad Alam, Mohammad Shahjama, Md. Ferdush Rahman

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 14 pages, 6 figures, submitted to ICCIT2018, Bangladesh

1806.04863 2018-06-14 q-bio.GN cs.LG stat.ML 60%

Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks

Farzad Abdolhosseini, Behrooz Azarkhalili, Abbas Maazallahi, Aryan Kamal, Seyed Abolfazl Motahari, Ali Sharifi-Zarchi, Hamidreza Chitsaz

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

1702.01780 2017-02-08 cs.NE cs.LG q-bio.QM stat.ML 60%

Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming

Andrew Sohn, Randal S. Olson, Jason H. Moore

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 9 pages, 4 figures, submitted to GECCO 2017 conference and currently under review

1304.3760 2016-09-23 stat.ME cs.LG q-bio.QM stat.AP stat.ML 60%

Identification of relevant subtypes via preweighted sparse clustering

Sheila Gaynor, Eric Bair

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments Version 4: 49 pages, 5 figures

1603.06430 2016-06-21 cs.LG q-bio.GN 60%

Deep Learning in Bioinformatics

Seonwoo Min, Byunghan Lee, Sungroh Yoon

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments Accepted for Briefings in Bioinformatics (18-Jun-2016)

1102.1027 2015-03-18 cs.IR cs.AI cs.LG nlin.AO q-bio.OT 60%

Collective Classification of Textual Documents by Guided Self-Organization in T-Cell Cross-Regulation Dynamics

Alaa Abi-Haidar, Luis M. Rocha

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Journal ref Evolutionary Intelligence. 2011. Volume 4, Number 2, 69-80

1412.1138 2014-12-04 cs.LG cs.AI q-bio.QM 60%

Highly comparative fetal heart rate analysis

B. D. Fulcher, A. E. Georgieva, C. W. G. Redman, Nick S. Jones

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 7 pages, 4 figures

Journal ref Fulcher, B. D., Georgieva, A., Redman, C. W., & Jones, N. S. (2012). Highly comparative fetal heart rate analysis (pp. 3135-3138). Presented at the 34th Annual International Conference of the IEEE EMBS, San Diego, CA, USA

1404.0427 2014-07-15 q-bio.MN cs.LG 60%

Learning Two-input Linear and Nonlinear Analog Functions with a Simple Chemical System

Peter Banda, Christof Teuscher

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments 13 pages, 4 figures, 2 tables

Journal ref Lecture Notes in Computer Science, 8553, 14-26 (2014)

1210.0734 2013-03-05 stat.ML cs.LG q-bio.QM 60%

Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions

Artemy Kolchinsky, Anália Lourenço, Lang Li, Luis M. Rocha

专题命中生物医学文本：biomedical(abstract)；分类 cs.LG、q-bio

Comments Pacific Symposium on Biocomputing, 2013

Journal ref Pac Symp Biocomput. 2013:409-20

1. 生物医学文本 4516 篇

Formal Methods for the Informal Engineer: Workshop Recommendations

sJIVE: Supervised Joint and Individual Variation Explained

Utilising Graph Machine Learning within Drug Discovery and Development

Feature reduction for machine learning on molecular features: The GeneScore

DeepPurpose: a Deep Learning Library for Drug-Target Interaction Prediction

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction

Using ontology embeddings for structural inductive bias in gene expression data analysis

Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles

Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN

Machine-Learning Driven Drug Repurposing for COVID-19

Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding

Discovering Association with Copula Entropy

A deep belief network-based method to identify proteomic risk markers for Alzheimer disease

Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers

Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge

OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data

Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge

Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning

ImJoy: an open-source computational platform for the deep learning era

Optimal Clustering with Missing Values

Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

Gene Shaving using influence function of a kernel method

Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks

Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming

Identification of relevant subtypes via preweighted sparse clustering

Deep Learning in Bioinformatics

Collective Classification of Textual Documents by Guided Self-Organization in T-Cell Cross-Regulation Dynamics

Highly comparative fetal heart rate analysis

Learning Two-input Linear and Nonlinear Analog Functions with a Simple Chemical System

Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions