MIT CompBio Course Projects Fall 2019
Explore a series of computational biology projects presented by MIT students in Fall 2019. Dive into cutting-edge research topics including epigenetic biomarkers for allergies, protein interaction networks in viral diseases, RNA velocity analysis of diseased cells, machine learning applications in cancer diagnosis and treatment, enhancer activity prediction, drug target interaction imputation, regulatory networks in neurodegenerative disorders, deep protein structure prediction, transcriptional variance in Alzheimer's disease, tumor gene expression analysis, recombination hotspot prediction, mixed sample single-cell RNA sequencing, CRISPR screen analysis, adverse drug reaction prediction, preterm birth gene expression studies, protein remote homology detection, brain tumor gene and miRNA expression comparisons, enhancer protein looping models, epigenetic clock development using histone modifications, cell-cell interactions in immune checkpoint response, and prioritization of human disease variants using protohuman genomes. Read more