Iya G. Khalil - GNS Healthcare Inc | 人才画像

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Papers共 51 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

TEDDY: A Family of Foundation Models for Understanding Single Cell Biology

Alexis Chevalier, Soumya Ghosh, Urvi Awasthi, James Watkins, Julia Bieniewska, Nichita Mitrea, Olga Kotova, Kirill Shkura, Andrew Noble, Michael Steinbaugh,Julien Delile, Christoph Meier,Leonid Zhukov,Iya Khalil,Srayanta Mukherjee, Judith Mueller

CoRR (2025)

Cited0Views0EIBibtex

Supplemental Figure Legends from Bayesian Network Inference Modeling Identifies TRIB1 As a Novel Regulator of Cell-Cycle Progression and Survival in Cancer Cells

Rina Gendelman,Heming Xing,Olga K. Mirzoeva,Preeti Sarde,Christina Curtis,Heidi S. Feiler,Paul F. McDonagh,Joe W. Gray,Iya Khalil,W. Michael Korn

openalex

Cited0Views0Bibtex

Supplemental Figures 1 to 14 from Bayesian Network Inference Modeling Identifies TRIB1 As a Novel Regulator of Cell-Cycle Progression and Survival in Cancer Cells

Rina Gendelman,Heming Xing,Olga K. Mirzoeva,Preeti Sarde,Christina Curtis,Heidi S. Feiler,Paul McDonagh,Joe W. Gray,Iya Khalil,W. Michael Korn

crossref（2023）

Cited0Views0Bibtex

Supplemental Methods from Bayesian Network Inference Modeling Identifies TRIB1 As a Novel Regulator of Cell-Cycle Progression and Survival in Cancer Cells

Rina Gendelman,Heming Xing,Olga K. Mirzoeva,Preeti Sarde,Christina Curtis,Heidi S. Feiler,Paul McDonagh,Joe W. Gray,Iya Khalil,W. Michael Korn

crossref（2023）

Cited0Views0Bibtex

Application of Machine Learning Models to Evaluate Hypoglycemia Risk in Type 2 Diabetes

Luke Mueller,Paulos Berhanu,Jonathan Bouchard,Veronica Alas,Kenneth Elder, Ngoc Thai, Cody Hitchcock,Tiffany Hadzi,Iya Khalil, Lesley-Ann Miller-Wilson

Diabetes Therapy（2020）

Cited12Views0WOSBibtex

Causal Modeling of TCGA, NSCLC, and HNSCC Data to Identify Network Drivers of Tumor Immune Subtypes

Rahul K. Das,Raymond T. Yan, Craig B. Davis,Mateusz Maciejewski,Xinmeng Jasmine Mu,Aishwarya Krishnakumar,Bruce W. Church,Iya Khalil

JOURNAL OF CLINICAL ONCOLOGY（2020）

Cited1Views0Bibtex

Bayesian Machine Learning on CALGB/SWOG 80405 (alliance) and PEAK Data Identify a Heterogeneous Landscape of Clinical Predictors of Overall Survival (OS) in Different Populations of Metastatic Colorectal Cancer (Mcrc)

R. Das,F. Ou,C. Washburn,F. Innocenti,A. Nixon,H. Lenz,C. Blanke,D. Niedzwiecki,I. Khalil, B. Harms,A. Venook

Annals of Oncology（2019）

Cited1Views0WOSBibtex

Preclinical Validation Studies Support Causal Machine Learning Based Identification of Novel Drug Targets for High-Risk Multiple Myeloma

Arnold Bolomsky,Fred Gruber,Kathrin Stangelberger,Leon Furchtgott,Dominik Arnold,Puja Raut,Diane Wuest,Karl Runge,Iya Khalil,Niklas Zojer,Nikhil Munshi,Boris Hayete,Heinz Ludwig

Blood（2018）

Cited3Views0Bibtex

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