Machine learning on secondary data for rare genetic diseases
Talk, the Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York
Talks, lectures and presentations
Reproducibility in bioinformatics
Guest lecture, the ITHS KL2-TL1 Seminar Series, University of Washington, Seattle, Washington
Machine learning on secondary data for the interpretation of genetic variants
Talk, the Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mt. Sinai, New York, New York
Machine learning on secondary data for rare genetic diseases
Talk, the Department of Biostatistics and Informatics, University of Colorado Anschutz, Aurora, Colorado
A performance-based approach to establish standards for missense variant impact prediction tools
Talk, CAGI* Workshop: Assessing the Future of Genome Interpretation, San Francisco, California
Reproducibility in bioinformatics
Guest lecture, the ITHS KL2-TL1 Seminar Series, University of Washington, Seattle, Washington
Predicting the molecular mechanisms of disease-associated amino acid substitutions
Talk, Moore-Sloan Data Science Environment Summit, New Orleans, Louisiana
Probabilistic prediction of the different notions of missense variant impact
Talk, Human Genome Variation Society Meeting, Orlando, Florida
Predicting the in vitro functional effects of natural and synthetic missense mutations
Talk, QBI/Convergence Zone Symposium, San Francisco, California
MutPred2: predicting the pathogenicity and molecular consequences of missense variants
Talk, ISCB Student Council Symposium, Boston, Massachussetts
Tutorial on GeneclusterViz for visualization of microbial genomes
Tutorial, the Center for Genomics and Bioinformatics Workshop on Microbial Analysis, Indiana University, Bloomington, Indiana