MIT CompBio Course Projects Fall 2019

Overview

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.

Syllabus

MIT CompBio Team01 Epigenetic Biomarkers In Atopic Allergies For Diagnostic Testing by Milo Knowles.
MIT CompBio Team02 Protein Pagerank for Viral Perturbations in Human Disease Interactome by Alex Her.
MIT CompBio Team03 Dynamic Processes Of Diseased Cell State Progression with RNA Velocity by Hyunjin.
MIT CompBio Team04 Machine Learning for Cancers Primary Identification and Treatment Response Predic.
MIT CompBio Team05 Enhancer Activity Prediction with Machine Learning by William Phu, Nathan Han Fal.
MIT CompBio Team06 Leveraging Interactome for Drug Target Interaction Imputation and Molecule Genera.
MIT CompBio Team07 Pseudotemporal Analysis Of Regulatory Networks In Neurodegenerative Disorders by.
MIT CompBio Team08 Deep Protein Structure Prediction Tools by Zhoutong Zhang Fall 2019.
MIT CompBio Team09 Transcriptional Variance In Alzheimers Disease by Christopher Rodriguez, Anita Ch.
MIT CompBio Team10 Deep Learning for Tumor Gene Expression Data by Prachi Sinha, Soumya Ram Fall 201.
MIT CompBio Team11 Recombination Hotspot Prediction with Deep Learning by Lawrence Wong, Joy Fan Fal.
MIT CompBio Team12 Expression Clustering and Orthologous Gene Identification for Mixed Sample Single.
MIT CompBio Team13 Leveraging CRISPR Screens to Classify Genes as Having Essential Hotspot And Damag.
MIT CompBio Team14 Knowledge Graph Prediction Of Adverse Drug Reactions With Drug Substructures And.
MIT CompBio Team15 Prediction of Spontaneous Preterm Birth with Gene Expression by Jing Lin, Yun Boy.
MIT CompBio Team16 Protein Remote Homology Detection by Alignment of Sequence Embeddings Learned fro.
MIT CompBio Team17 Comparing Gene And miRNA Expression Of Different Brain Tumors by David Poberejsky.
MIT CompBio Team18 Study of the ABC Model of Enhancer Protein Looping by Ruihan Zhang, Haoran Cai Fa.
MIT CompBio Team19 Epigenetic Clock using Histone Modifications by Benjamin James, Brian Xia Fall 20.
MIT CompBio Team20 Inferring Cell Cell Interactions Driving Differential Response To Immune Checkpoi.
MIT CompBio Team21 Prioritizing Human Disease Variants using Protohuman Genomes by Josh Derrick, Nic.