ORAL PRESENTATIONS



OP-01
Goals, Roles, and Watering holes: A playbook for the leading edge of team science

Presenting Author: Julie McMurry, University of Colorado, Anschutz Medical Campus

OP-02
Realizing the potential of secure and decentralized harmonization of clinical and genomics data for precision medicine

Presenting Author: Ahmed Elhussein, Columbia University

OP-03
iAtlas: an Open-Source, Interactive Portal and Platform for Immuno-Oncology Research

Presenting Author: James Eddy, Sage Bionetworks

OP-04
Tissue-adjusted pathway analysis of cancer

Presenting Author: Rob Frost, Dartmouth College

OP-05
Alignment-free phylogenetic method unveils the pan-mammalian regulatory motif adaptations underlying extended lifespan

Presenting Author: Elysia Saputra, University of Pittsburgh

OP-06
A robust computational framework to benchmark spatiotemporal trajectory association analysis in single-cell spatial transcriptomics

Presenting Author: Fan Zhang, University of Colorado School of Medicine

OP-07
LochNESS: a novel statistic to quantify sample specific effects in single-cell data based on k-NN graphs

Presenting Author: Xingfan Huang, University of Washington

OP-08
C3PO: Combined polygenic protein prediction in oncology

Presenting Author: Matthew Bailey, Brigham Young University

OP-09
Sex specific genetic architecture of childhood asthma

Presenting Author: Amelie Fritz, Technical Universaity Denmark

OP-10
An efficient not-only-linear correlation coefficient based on machine learning

Presenting Author: Milton Pividori, University of Pennsylvania

OP-11
Survival-based Gene Set Enrichment Analysis

Presenting Author: Jeffrey Thompson, University of Kansas Medical Center

OP-12
How do you build a data commons? A case study for Down Syndrome

Presenting Author: Monica Munoz-Torres, University of Colorado Anschutz Medical Campus

OP-13
Leveraging edge computing for workflow tracking and management to improve academic and healthcare security, efficiency, and auditability

Presenting Author: Caylin Hickey, University of Kentucky

OP-14
Systematic study of human diseases using graph signal processing on gene expression datasets

Presenting Author: Renming Liu, Michigan State University

OP-15
GeneplexusZoo: Utilizing network information across species to improve supervised gene classification

Presenting Author: Christopher Mancuso, University of Colorado-Denver Anschutz Medical Campus

OP-16
Privacy-preserving prediction of phenotypes from genotypes using homomorphic encryption

Presenting Author: Annie Choi, Columbia University

OP-17
Leveraging public transcriptome data with ML to infer pan-body age- and sex-specific molecular phenomena

Presenting Author: Kayla Johnson, Michigan State University

OP-18
A comprehensive knowledgebase of known and predicted genetic variants associated with COVID-19 severity

Presenting Author: Meltem Ece Kars, Icahn School of Medicine at Mount Sinai, Institute for Personalized Medicine

OP-19
Abyssinian to Zebu: Classifying Animal Breeds with the Vertebrate Breed Ontology (VBO)

Presenting Author: Kathleen Mullen, University of Colorado Anschutz Medical Campus

OP-20
Binding sites prediction of proteins

Presenting Author: Zhong-Ru Xie, University of Georgia

OP-21
On Language Models, Medicine, and Factuality

Presenting Author: Sagi Shaier, CU Boulder

OP-22
Metabolites and Markers of Endothelial Dysfunction Help Understand Sepsis Mortality Risk

Presenting Author: Sarah McGarrity, Brigham and Women’s Hospital and Harvard Medical School

OP-23
A comprehensive analysis of the reusability of public omics data across 2.8 million research publications

Presenting Author: Mohammad Vahed, University of Southern California

OP-24
Creating an Ignorance-Base: Exploring known unknowns in the scientific literature

Presenting Author: Mayla Boguslav, University of Colorado Anschutz Medical Campus

OP-25
Identify genes associated with gastrointestinal tract adaptation using Evolink

Presenting Author: Xiaofang Jiang, NIH/NLM

OP-26
Development and validation of an explainable machine learning-based prediction model for drug-food constituent interactions from chemical structures

Presenting Author: Quang Hien Kha, Taipei Medical University

OP-27
Metrics and software for assessing microbiota engraftment following Fecal Microbiota Transplant

Presenting Author: Chloe Herman, Northern Arizona University

OP-28
Exploration of 5'UTR Variation in a Clinical Workflow Evaluating Undiagnosed Rare Disease Patients

Presenting Author: Eric Klee, Mayo Clinic

OP-29
An ML framework for precision medicine: from patient-specific gene networks to translational animal models

Presenting Author: Hao Yuan, Michigan State University

OP-30
Identifying alterations associated with aggressiveness in prostate cancer molecular subtypes

Presenting Author: Michael Orman, University of Colorado

OP-31
Rigorous benchmarking of T cell receptor repertoire profiling methods for cancer RNA sequencing

Presenting Author: Serghei Mangul, University of Southern California

OP-32
How tRNA pools and ramp sequences regulate protein and transcript levels associated with disease

Presenting Author: Justin Miller, University of Kentucky

OP-33
Finding Long COVID: Topic modeling of post-infection trends in patient EHR profiles

Presenting Author: Shawn ONeil, University of Colorado

OP-34
Language representation models based on metadata identify relevant datasets in Gene Expression Omnibus

Presenting Author: Grace Salmons, Brigham Young University

OP-35
Using knowledge graphs to infer gene expression in plants

Presenting Author: Anne Thessen, University of Colorado Anschutz

OP-36
Fast, flexible and safe sequence assembly for RNA and beyond

Presenting Author: Brendan Mumey, Montana State University

OP-37
Visualization and Exploration of Survival Prediction Model Explanations

Presenting Author: Cartsen Görg, Colorado School of Public Health

OP-38
Double-strand DNA breaks: Quantitative mapping and computational modeling of mechanisms.

Presenting Author: Maga Rowicka, University of Texas Medical Branch

OP-39
Novel enzyme families among artificial intelligence-based protein structure models

Presenting Author: Krzysztof Pawlowski, University of Texas Southwestern Medical Center

OP-40
The Mondo Disease Ontology: A Standardized Disease Terminology of Human and Animal Diseases

Presenting Author: Sabrina Toro, University of Colorado, Anschutz Medical Campus

OP-41
The ability to classify patients based on gene-expression data varies by algorithm and performance metric

Presenting Author: Stephen Piccolo, Brigham Young University