Agenda

Optimization and Mathematical Programming for Cancer Research

Benchmarking-related model development for deconvoluting cancer genomes and heterogeneous tissue transcriptomes

Combinatorial Algorithms for Cancer Phylogenetics

What’s next for computational precision oncology?

Machine Learning for Spatial Genomics

Alignment, Integration, and Modeling of Spatial Transcriptomics Data

Deciphering Anti-tumor Immune Responses with Systems Immunology and Genomics

Next generation transcriptomics-based precision oncology

Pathways for Learning from Structure and Organization of Biological Networks

Signatures of mutational processes in cancer: methods and mechanisms

Profiling somatic and germline structural variants in cancer genomes using long reads

Reconstruction of trees of tumor evolution from single-cell sequencing data

Integrated analysis of multi-omic data in cancer

Mutation-Selection Balance, Compensatory Mechanisms and Driver Epistasis in Tumor Evolution

Models and methods for reconstructing population-level evolutionary histories and relationships to tumor phylogenetics

Bioinformatic analysis for precision immunotherapy

Molecular archeology of cancer

Studying precision oncology past by mining a clinical trials database and identifying future opportunities from single-cell analysis

Gene regulatory mechanisms in cancer - beyond genetics

Weakly-supervised tumor purity prediction from frozen H&E stained slides

The case for equitable computational method development for precision oncology

Big Data Approaches to Study Intercellular Signaling in Cancer Immunotherapy Resistance

Predicting immunogenic neoepitopes in cancers

Discovering Significant Evolutionary Trajectories in Cancer Phylogenies

Interaction of APOBEC deaminase and tobacco smoking activities in lung cancer

A primer on computational approaches in single cell spatial transcriptomics

Machine leaning models for regulatory and single cell genomics

Deciphering cell type and state with single cell chromatin accessibility

Single-cell dissection on tumor heterogeneity and tumor evolution in liver cancer