ABCDEFG
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WeekDofWMonthDayLectureLecture PDFsTopic/Title
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1MonMarch29Sara Mostafavi (UW) Lecture 1 PDFIntro to course
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1WedMarch31Sara Mostafavi (UW)Lecture 2 PDFMachine learning for regulatory genomics
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2MonApril5Sara Mostafavi (UW)Lecture 3 PDF
Confounding problems in genomics studies of disease
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2WedApril7Casey Greene (UC)"Machine learning approaches to enhance research and equity in computational biology"
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3MonApril12James Johnson, Ben Jones
Biophysical prediction of protein-peptide interactions and signaling networks using machine learning
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3WedApril14Mohammed AlQuraishi (Columbia)"Machine-learned molecular models for protein interactions and logic"
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4MonApril19Zorian Thornton, Alyssa La Fleur, Dhruv YadavConditioning by adaptive sampling for robust design
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4WedApril21Jennifer Listgarten (Berkeley)
"Machine learning-based design of proteins (and small molecules and beyond)"
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5MonApril26Ben Jones, Ashley Stephenson, Sophia Jannetty
Integrating spatial gene expression and breast tumour morphology via deep learning
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5WedApril28James Zou (Stanford)
"Computer vision to phenotype human diseases across physiological and molecular scales."
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6MonMay3Chris Yin, James Johnson, Zorian Thornton
Counterfactual inference for single-cell gene expression analysis
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6WedMay5Yongjin Park (UBC)Causality and gene expression
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7MonMay10Dhruv Yadav, Ashley Stephenson, Alyssa La FleurDiscussion
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7WedMay12Gerald Quon (UC Davis)scAlign: a tool for alignment, integration, and rare cell identification from sc-RNA-seq data
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8MonMay17Sophia Jannetty, Mike Merrill, Woody AhernDiscussion
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8WedMay19Elham Azizi (Columbia)ML for computational cancer biology
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9MonMay24Mike Merrill, Chris Yin, Woody AhernDiscussion
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9WedMay26David Knowles (Columbia)Causal interpretation through multi-omics data analysis
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10MonMay31No lecture -- Memorial Day
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10WedJune2Quaid Morris (MSKI)How to be a machine learning biologist?
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