Omics Data: Methods, Modeling and Analysis

Track Chair(s)

• AX

  Alexander Xu, PhD

  Assistant Professor
  University of Maryland College Park
• MM

  Megan McLean

Session Chair(s)

• 

  Shawn Gomez, MS; EngScD

  Joint University of North Carolina at Chapel Hill, North Carolina, United States
• AG

  Allison Greaney

Presentations:

• 8:30 AM - 8:45 AM PDT

  Differentially Expressed Genes in Multifocal and Multicentric Breast Cancer (MMBC) and Their Role in Breast Cancer Progression: A Multi-Cohort Analysis
  

  Presenting Author: Lan Thanh Thanh Chu – University of Dayton

  Primary Investigator: Loan Bui – University of Dayton
• 8:45 AM - 9:00 AM PDT

  Computational framework for multi-organ cell type annotation of HuBMAP single-cell spatial-omics data
  

  Presenting Author: Yang Miao, MS – Duke University

  Last Author: John Hickey – Duke University

  Primary Investigator: John Hickey – Duke University

  Co-Author: Zachary Deutsch – Duke University, Department of Biomedical Engineering
• 9:00 AM - 9:15 AM PDT

  A spatially resolved multi-omics atlas of human intestinal metabolism
  

  Presenting Author: Bobby Ni – Duke University

  Primary Investigator: John Hickey – Duke University

  Co-Author: Rachel Wu – Duke University

  Co-Author: Jiaqi Liu – UT Sourthwestern

  Last Author: Angela Kruse – Vanderbilt University

  Co-Author: Lukasz Migas – Delft University of Technology

  Co-Author: Seung Hyun Jin – Duke University

  Co-Author: Julio Maragall – University of Florida

  Co-Author: Ky Ariano – Duke University
• 9:15 AM - 9:30 AM PDT

  Scaling Up Spatial Insights: From 2D to 3D Tissue Analysis
  

  Presenting Author: Yuqi Tan, PhD – Stanford University
• 9:30 AM - 9:45 AM PDT

  Uncovering developmental dynamics in the embryonic lung using single-cell and high-resolution spatial transcriptomics
  

  Presenting Author: Pengfei Zhang, PhD – Princeton University

  Co-Author: Benjamin Law – Princeton University

  Co-Author: Katharine Goodwin – Princeton University

  Primary Investigator: Michelle Chan – Princeton University

  Last Author: Celeste M. Nelson – Princeton University
• 9:45 AM - 10:00 AM PDT

  Single-Sequence, Structure Free Allosteric Residue Prediction with Protein Language Models
  

  Presenting Author: Gokul Kannan, BS, MA – Stanford University

  Co-Author: Chu Zheng – Stanford University

  Co-Author: Brian Hie – Stanford University

  Last Author: Peter Kim – Stanford University

  Primary Investigator: Peter Kim – Stanford University