Videos
Jingyi Jessica Li | Controlling False Discoveries in Genomics Data Analysis: What is the Null Hypothesis? | CGSI 2023
Ben Raphael | Models and Methods for Spatial Transcriptomics | CGSI 2023
Ben Raphael | Evolutionary Models for Cancer and Lineage Tracing | CGSI 2023
Shalmali Josh | Observational Causal Inference for Improving and Auditing ML for Healthcare | CGSI 2023
James Zou | Leveraging Medical Twitter to Build a Visual Language AI Model for Pathology | CGSI 2023
Kris Sankaran | Selective Inference for Computational Genomics | CGSI 2023
Layla Oesper | Tumor Evolution: Methods for Comparing, Summarizing and Visualizing Clonal Trees | CGSI 2023
Mohammed El-Kebir | Inferring Parsimonious Migration Histories for Metastatic Cancers | CGSI 2023
Na Cai | Polygenic Means To Test And Refine Depression Disease Models | CGSI 2023
Nicholas Mancuso | Computationally Scalable Approaches for Characterizing Genetic Architectures in Diverse Ancestries | CGSI 2023
Steven Gazal | The Functional Architectures of Human Diseases and Complex Traits: From Polygenicity to Variant Function | CGSI 2023
Vasilis Ntranos | Genome wide Prediction of Disease Variants with a Deep Protein Language Model | CGSI 2023
Teresa Prztycka | From Mutagenic Processes to Mutational Signatures and Back | CGSI 2023
Jeffrey Chiang | Strategies for Integrating Deep Learning with Current Biomedical Research | CGSI 2023
Nancy Cox | Confounding sneaks into biobanks in myriad ways… | CGSI 2023
Lisa Bastarache | From Population to Person How to Help a Single, Actual Person with Data Science | CGSI 2023
Pengtao Xie | Training Highly Generalizable Biomedical Image Segmentation Models with Very Few Annotations | CGSI 2023
Rajesh Ranganath | Revisiting Out of Distribution Generalization | CGSI 2023
Ron Shamir | Methods for Disease Analysis Using Multiomic Data | CGSI 2023
Rayan Chikhi | Living in the Future of Genomics | CGSI 2023
Iman Hajirasouliha | Applications of Deep Learning in Digital Pathology and Embryology | CGSI 2023
Nancy Cox | Ways to Find Confounding in Biobanks | CGSI 2023
Francesco Paolo Casale | Computational Analysis of Liver Whole slide Images Empowers Genomic Analyses of Historical Traits | CGSI 2023
Christoph Lippert | Recent Advances in Normalizing Flows | CGSI 2023
Christoph Lippert | Performing GWAS of Images by Combining Deep Transfer Learning with Statistical Testing | CGSI 2023
Wei Li | Computational Biomedicine Epigenetics Liquid Biopsy and Alternative Polyadenylation Therapy | CGSI 2023
Can Alkan | Characterization of Genomic Structural Variation Using Various Sequencing Technologies | CGSI 2023
Sagi Snir | Harnessing Genome Dynamics for Phylogenetic Reconstruction | CGSI 2023
Wenyi Wang | Statistical Methods for Cancer Risk Prediction Models | CGSI 2023
Kenneth Lange | MM Principle of Optimization | CGSI 2023
Tandy Warnow | Advances in Large scale Multiple Sequence Alignment | CGSI 2023
Stefano Lonardi | How to “Squeeze” the Best Genome Assembly From Your HiFi Reads | CGSI 2023
Or Zuk | Independence Tests and Dependence Measures, for Unbiased and Biased Samples | CGSI 2023
Mark Chaisson | Design, Construction, and Usage of the Draft Pangenome | CGSI 2023
Teresa Prztycka | From Mutagenic Processes to Mutational Signatures and Back | CGSI 2023
Ilan Gronau | Generating Realistic Chromosome Scale Simulations for Population Genomics Studies | CGSI 2023
Chongzhi Zang | BART A Transcriptional Regulator Prediction Method for Functional Genomics | CGSI 2023
Aly Azeem Khan | Computational Insights into Cancer Immunology | CGSI 2023
Saharon Rosset | Intuition and Paradoxes in Probability and Statistics | CGSI 2023
Eleazar Eskin | SwabSeq Sequencing based Detection of Pathogens | CGSI 2023
Christina Leslie | Machine Learning Models for Single Cell and Regulatory Genomics | CGSI 2023
Casey Greene | Why is this so hard It should be easy | CGSI 2023
Smita Krishnaswamy | Machine Learning via Graph Signal for Complex Biological Data | CGSI 2023
Smita Krishnaswamy | Graph and Algebraic Signal Processing Basics for Computational Biology | CGSI 2023
Mark Chaisson | Genotyping Allele specific Copy Number Variants Using Pangenomes | CGSI 2023
Jason Ernst | Computational Methods for Modeling and Analyzing Epigenomic Data | CGSI 2023
Julia Salzman | Statistical Reference free Genomics Solves Myriad Problems in Bioinformatics | CGSI 2023
Julia Palacios | Inference from Single Cell Lineage Tracing Data Generated via Genome Editing | CGSI 2023
Jason Ernst | Leveraging High-throughput Functional Characterization Data to Dissect and Annotate Human Regulatory Regions | CGSI 2023
Simon Gravel | Population Genetics in Large Genealogies | CGSI 2023
Saharon Rosset | Multiple Testing: Methods for Low- and High-Dimensional Testing Problems in Biomed, and Some Optimality Results | CGSI 2023
Ritambhara Singh | Single cell Data Integration Using Optimal Transport | CGSI 2023
Rayan Chikhi | mDBG and Alignment The Tumultuous Fate of Sequence Bioinformatics Ideas | CGSI 2023
Nandita Garud | Detection of Hard and Soft Sweeps from Population Genomic Data | CGSI 2023
Jo Hardin | Selecting Between-sample ChIP-Seq Normalization Methods From The Perspective of Their Assumptions | CGSI 2023
James Zou | Modeling Spatial Omics and Cellular Niches with Graph Neural Networks | CGSI 2023
Valerie Arboleda | Biobanks from a Pathologist’s Viewpoint | CGSI 2023
Melissa Gymrek | Dissecting the Contribution of the Repeat ome to Complex Traits | CGSI 2023
Kayhan Batmanghelich | Understanding Spurious Feature Learning Through the Lens of Task Difficulty | CGSI 2023
Sumit Chopra | Less is More Learning Signals to Learn Representations in Healthcare | CGSI 2023
Lisa Bastarache | Fun with Phecodes! | CGSI 2023
Kayhan Batmanghelich | Divide and Conquer: Carving Out Symbolic Models out of BlackBox for More Efficient Domain Adaptation | CGSI 2023
Jason Moore | Automated Quantitative Trait Locus Analysis | CGSI 2023
Haky Im | Predicting the Epigenome from DNA Sequence, Are you there yet | CGSI 2023
Daniel Tward | Familywise Error Rate Control for Statistical Testing in Brain Image Ontologies | CGSI 2023
Rajesh Ranganath | Deep Generative Models in Medicine | CGSI 2023
Rahul Krishnan | Reliable Machine Learning in Healthcare | CGSI 2023
Loes Olde Loohuis | Combining Biobanks and Cohort Studies. The Best of Both Worlds | CGSI 2023
Francesco Paolo Casale | Mixed Models in Genomic Analyses and Imaging Studies | CGSI 2023
Jian Ma | Large Language Models for Computational Biology A Primer | CGSI 2023
Irene Chen | Fairness and Equity in Machine Learning for Healthcare | CGSI 2023