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

基本信息

浏览量：37

职业迁徙

个人简介

暂无内容

研究兴趣

论文共 51 篇作者统计合作学者相似作者

按年份排序按引用量排序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)

引用0浏览0EI引用

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

引用0浏览0引用

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）

引用0浏览0引用

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）

引用0浏览0引用

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）

引用12浏览0WOS引用

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）

引用1浏览0引用

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）

引用1浏览0WOS引用

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）

引用3浏览0引用

加载更多

作者统计

合作学者

合作机构

D-Core

合作者
学生
导师

暂无相似学者，你可以通过学者研究领域进行搜索筛选

数据免责声明

页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果，我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问，可以通过电子邮件方式联系我们：report@aminer.cn