Matthew K. Matlock

发表

XenoSite server: a web-available site of metabolism prediction tool

Sanjay Joshua Swamidass, S. Joshua Swamidass, Matthew K. Matlock, 2015, Bioinform..

Deep learning long-range information in undirected graphs with wave networks

Sanjay Joshua Swamidass, S. Joshua Swamidass, Kevin Jiang, 2018, 2019 International Joint Conference on Neural Networks (IJCNN).

XenoSite: Accurately Predicting CYP-Mediated Sites of Metabolism with Neural Networks

Sanjay Joshua Swamidass, S. Joshua Swamidass, Matthew K. Matlock, 2013, J. Chem. Inf. Model..

ProteomeScout: a repository and analysis resource for post-translational modifications and proteins

Kristen M. Naegle, Matthew K. Matlock, Alex Holehouse, 2014, Nucleic Acids Res..

Scaffold network generator: a tool for mining molecular structures

Sanjay Joshua Swamidass, Matthew K. Matlock, Jed Zaretzki, 2013, Bioinform..

Sharing Chemical Relationships Does Not Reveal Structures

Sanjay Joshua Swamidass, Matthew K. Matlock, S. Joshua Joshua Swamidass, 2014, J. Chem. Inf. Model..

Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections

S. Joshua Swamidass, Matthew K. Matlock, Joseph P. Gaut, 2018, bioRxiv.

CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer

Steven J. M. Jones, Benjamin M. Good, Joshua F. McMichael, 2017, Nature Genetics.

Learning a Local-Variable Model of Aromatic and Conjugated Systems

S. Joshua Swamidass, Matthew K. Matlock, N. Dang, 2018, ACS central science.

A Time-Embedding Network Models the Ontogeny of 23 Hepatic Drug Metabolizing Enzymes.

S. Joshua Swamidass, Matthew K. Matlock, G. Miller, 2019, Chemical research in toxicology.

Recurrent somatic mutations affecting B-cell receptor signaling pathway genes in follicular lymphoma.

Christopher A. Miller, Matthew K. Matlock, L. Trani, 2017, Blood.

Deep learning quantification of percent steatosis in donor liver biopsy frozen sections

Matthew K. Matlock, J. Marsh, Ta-Chiang Liu, 2020, EBioMedicine.

Combined Analysis of Phenotypic and Target-Based Screening in Assay Networks

Pankaj Agarwal, S Joshua Swamidass, Matthew Matlock, 2014, Journal of biomolecular screening.

Modeling Small-Molecule Reactivity Identifies Promiscuous Bioactive Compounds

S Joshua Swamidass, Jayme L. Dahlin, S. Joshua Swamidass, 2018, J. Chem. Inf. Model..

Evolution and Functional Information

Matthew Matlock, S. Joshua Swamidass, Matthew K. Matlock, 2017, bioRxiv.

Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples

Obi L. Griffith, Malachi Griffith, Nicholas C. Spies, 2018, Genetics in Medicine.

Dual mechanisms suppress meloxicam bioactivation relative to sudoxicam.

S. Joshua Swamidass, Matthew K. Matlock, Noah R. Flynn, 2020, Toxicology.

Standard operating procedure for somatic variant refinement of tumor sequencing data

Malachi Griffith, Obi L. Griffith, Sanjay Joshua Swamidass, 2018, bioRxiv.

‘Black Box’ to ‘Conversational’ Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism

S. Joshua Swamidass, Matthew K. Matlock, N. Dang, 2020, IEEE Journal of Biomedical and Health Informatics.

Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples

Benjamin J. Ainscough, Erica K. Barnell, Katie M. Campbell, 2018, Genetics in Medicine.

Deep Learning Coordinate-Free Quantum Chemistry.

Matthew K. Matlock, N. Dang, G. Hutchison, 2021, The journal of physical chemistry. A.

The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors

S Joshua Swamidass, S. Joshua Swamidass, Matthew K. Matlock, 2020, J. Chem. Inf. Model..

Site-Level Bioactivity of Small-Molecules from Deep-Learned Representations of Quantum Chemistry.

Matthew K. Matlock, S. J. Swamidass, K. Sarullo, 2020, The journal of physical chemistry. A.

CIViC: A knowledgebase for expert-crowdsourcing the clinical interpretation of variants in cancer

Obi L. Griffith, Steven J. M. Jones, Benjamin M. Good, 2016, bioRxiv.

XenoSite: Accurately Predicting CYP-Mediated Sites of Metabolism with Neural Networks

S. Joshua Swamidass, Matthew K. Matlock, Jed Zaretzki, 2013, J. Chem. Inf. Model..

Recurrent somatic mutations affecting B-cell receptor signaling pathway genes in follicular lymphoma.

Christopher A. Miller, Matthew K. Matlock, L. Trani, 2017, Blood.

Securely Measuring the Overlap between Private Datasets with Cryptosets

Matthew Matlock, S. Joshua Swamidass, Leon Rozenblit, 2015, PloS one.