AI Health HDS Learning Experience: KESER: Clinical Knowledge Extraction via Sparse Embedding Regression with EHR data
Chuan Hong, PhD. Assistant Professor of Biostatistics & Bioinformatics
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AI Health HDS Learning Experience: KESER: Clinical Knowledge Extraction via Sparse Embedding Regression with EHR data
Chuan Hong, PhD. Assistant Professor of Biostatistics & Bioinformatics
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Multiple Testing for Data with Ancillary Information
Xuechan Li, PhD Candidate, Biostatistics and Bioinformatics PhD Program
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AI Health HDS Learning Experience: Using and Implementing AI for Resource Allocation in Surgery
Dan Buckland, MD, PhD; Assistant Professor of Surgery and Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science and Hamed Zaribafzadeh, MS; AI Health Data Science Fellowship Program
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Marginal Methods for the Design and Analysis of Cluster Randomized Trials and Related Studies
Xueqi Wang, PhD Candidate
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From the nucleus to mitochondria: The global orchestration of gene expression
Stirling Churchman
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Demystifying the Drop-Outs in Single Cell RNA-Seq Data
Mengjie Chen, PhD, Assistant Professor, Medicine & Human Genetics, University of Chicago
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Propensity Score Methods for Causal Subgroup Analysis
Siyun Yang, PhD Candidate
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Double Vision: Developmental Genomics from a Lab and Institute Perspective
Diana Bianch, MD
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