K. Gayvert

发表

Machine learning analysis of a digital insole versus clinical standard gait assessments for digital endpoint development

Kaitlyn M. Gayvert, G. Atwal, W. Lim, 2022, medRxiv.

A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials.

Kaitlyn M. Gayvert, Neel S Madhukar, Neel S. Madhukar, 2016, Cell chemical biology.

N-Myc Induces an EZH2-Mediated Transcriptional Program Driving Neuroendocrine Prostate Cancer.

Kaitlyn M. Gayvert, M. Rubin, O. Elemento, 2016, Cancer cell.

Viral population genomics reveals host and infectivity impact on SARS-CoV-2 adaptive landscape

Kaitlyn M. Gayvert, G. Atwal, S. McKay, 2021, bioRxiv.

A Machine Learning Approach Predicts Tissue-Specific Drug Adverse Events

Coryandar Gilvary, Neel Madhukar, Kaitlyn Gayvert, 2018, bioRxiv.

A Bayesian machine learning approach for drug target identification using diverse data types

Olivier Elemento, Kaitlyn Gayvert, Paraskevi Giannakakou, 2019, Nature Communications.

Broad Targeting Specificity during Bacterial Type III CRISPR-Cas Immunity Constrains Viral Escape.

Kaitlyn Gayvert, Olivier Elemento, Kaitlyn M. Gayvert, 2017, Cell host & microbe.

Blocking common γ chain cytokine signaling ameliorates T cell–mediated pathogenesis in disease models

Kaitlyn M. Gayvert, A. Murphy, G. Yancopoulos, 2023, Science Translational Medicine.

A Computational Approach for Identifying Synergistic Drug Combinations

Olivier Elemento, Omar Aly, Kaitlyn M. Gayvert, 2017, PLoS Comput. Biol..

Simulation Algorithms for Continuous Time Markov Chain Models

H. T. Banks, Shuhua Hu, Michele Joyner, 2011 .

ENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancers

Florentina Bunea, Haiyuan Yu, Jishnu Das, 2015, BMC Genomics.