S Joshua Swamidass

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Pierre BaldiProfessor, University of California, IrvineAdresse e-mail validée de ics.uci.edu
Matthew Matlock, MD PhDResident, Emergency Medicine, Washington University in St LouisAdresse e-mail validée de wustl.edu
Grover P MillerProfessor of Biochemistry and Molecular Biology, University of Arkansas for Medical SciencesAdresse e-mail validée de uams.edu
Na Le DangMD PhD at Washington University in St Louis School of MedicineAdresse e-mail validée de wustl.edu
Tyler B. HughesPrincipal Data Scientist at OpenX. Computational Systems Ph.D. from WUSTLAdresse e-mail validée de wustl.edu
Noah FlynnAmazonAdresse e-mail validée de amazon.com
Jonathan H ChenStanford Department of MedicineAdresse e-mail validée de stanford.edu
Obi L. GriffithAssociate Professor, Washington University School of MedicineAdresse e-mail validée de wustl.edu
Liva RalaivolaCriteo AI LabAdresse e-mail validée de criteo.com
Chloé-Agathe AzencottMines ParisTechAdresse e-mail validée de mines-paristech.fr
Atul J. ButteDirector, Bakar Computational Health Sciences Institute, University of California, San FranciscoAdresse e-mail validée de ucsf.edu
Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCAdresse e-mail validée de nih.gov
Ta-Chiang LiuAssociate Professor of Pathology and Immunology, Washington University School of MedicineAdresse e-mail validée de wustl.edu
Malachi GriffithAssociate Professor, Medicine, Washington University School of MedicineAdresse e-mail validée de wustl.edu
Hiroto SaigoKyushu UniversityAdresse e-mail validée de inf.kyushu-u.ac.jp
Erica K BarnellWashington University School of MedicineAdresse e-mail validée de wustl.edu
Mary (Allie) SchleiffNestle PurinaAdresse e-mail validée de purina.nestle.com
Gunnar BoysenUniversity of Arkansas for Medical SciencesAdresse e-mail validée de uams.edu
Alex H Wagner, PhDNHGRI Genomic Innovator, Asst. Prof. at Nationwide Children's Hospital and the Ohio State UniversityAdresse e-mail validée de nationwidechildrens.org
Benjamin J AinscoughWashington University in Saint LouisAdresse e-mail validée de go.wustl.edu

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S Joshua Swamidass

Associate Professor of Pathology and Immunology, Washington University in St. Louis

Adresse e-mail validée de wustl.edu - Page d'accueil

Digital Pathology Human Origins Drug Metabolism & Bioactivation Chemical Informatics Artificial Intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Opportunities and obstacles for deep learning in biology and medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Journal of the royal society interface 15 (141), 20170387, 2018	2274	2018
Graph kernels for chemical informatics L Ralaivola, SJ Swamidass, H Saigo, P Baldi Neural networks 18 (8), 1093-1110, 2005	613	2005
A survey of current trends in computational drug repositioning J Li, S Zheng, B Chen, AJ Butte, SJ Swamidass, Z Lu Briefings in bioinformatics 17 (1), 2-12, 2016	572	2016
Open source drug discovery with the malaria box compound collection for neglected diseases and beyond WC Van Voorhis, JH Adams, R Adelfio, V Ahyong, MH Akabas, P Alano, ... PLoS pathogens 12 (7), e1005763, 2016	316	2016
Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity SJ Swamidass, J Chen, J Bruand, P Phung, L Ralaivola, P Baldi Bioinformatics 21 (suppl_1), i359-i368, 2005	252	2005
XenoSite: accurately predicting CYP-mediated sites of metabolism with neural networks J Zaretzki, M Matlock, SJ Swamidass Journal of chemical information and modeling 53 (12), 3373-3383, 2013	240	2013
ChemDB: a public database of small molecules and related chemoinformatics resources J Chen, SJ Swamidass, Y Dou, J Bruand, P Baldi Bioinformatics 21 (22), 4133-4139, 2005	229	2005
Modeling epoxidation of drug-like molecules with a deep machine learning network TB Hughes, GP Miller, SJ Swamidass ACS central science 1 (4), 168-180, 2015	200	2015
Deep learning global glomerulosclerosis in transplant kidney frozen sections JN Marsh, MK Matlock, S Kudose, TC Liu, TS Stappenbeck, JP Gaut, ... IEEE transactions on medical imaging 37 (12), 2718-2728, 2018	166	2018
ChemDB update—full-text search and virtual chemical space JH Chen, E Linstead, SJ Swamidass, D Wang, P Baldi Bioinformatics 23 (17), 2348-2351, 2007	154	2007
A CROC stronger than ROC: measuring, visualizing and optimizing early retrieval SJ Swamidass, CA Azencott, K Daily, P Baldi Bioinformatics 26 (10), 1348-1356, 2010	141	2010
Structure-based inhibitor design of AccD5, an essential acyl-CoA carboxylase carboxyltransferase domain of Mycobacterium tuberculosis TW Lin, MM Melgar, D Kurth, SJ Swamidass, J Purdon, T Tseng, G Gago, ... Proceedings of the National Academy of Sciences 103 (9), 3072-3077, 2006	137	2006
Mining small-molecule screens to repurpose drugs SJ Swamidass Briefings in bioinformatics 12 (4), 327-335, 2011	133	2011
Mathematical correction for fingerprint similarity measures to improve chemical retrieval SJ Swamidass, P Baldi Journal of chemical information and modeling 47 (3), 952-964, 2007	127	2007
Bounds and algorithms for fast exact searches of chemical fingerprints in linear and sublinear time SJ Swamidass, P Baldi Journal of chemical information and modeling 47 (2), 302-317, 2007	111	2007
Modeling reactivity to biological macromolecules with a deep multitask network TB Hughes, NL Dang, GP Miller, SJ Swamidass ACS central science 2 (8), 529-537, 2016	104	2016
Site of reactivity models predict molecular reactivity of diverse chemicals with glutathione TB Hughes, GP Miller, SJ Swamidass Chemical research in toxicology 28 (4), 797-809, 2015	99	2015
XenoSite server: a web-available site of metabolism prediction tool MK Matlock, TB Hughes, SJ Swamidass Bioinformatics 31 (7), 1136-1137, 2015	96	2015
Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples EK Barnell, P Ronning, KM Campbell, K Krysiak, BJ Ainscough, LM Sheta, ... Genetics in Medicine 21 (4), 972-981, 2019	92	2019
Deep learning to predict the formation of quinone species in drug metabolism TB Hughes, SJ Swamidass Chemical research in toxicology 30 (2), 642-656, 2017	89	2017

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