How About Machine Learning Enhancing Theses? Hamlet is in alpha. Things may change, break, or not make sense yet. Please enjoy anyway - and check back for more fun stuff to come! HAMLET How About Machine Learning Enhancing Theses? About Theses most similar to Computational regulatory genomics : motifs, networks, and dynamics (Kheradpour, Pouya; 2012) read it Predicting genetic interactions in Caenorhabditis elegans using machine learning Missiuro, Patrycja Vasilyev, 1976- (2010) Advisors: Hui Ge; Jaakkola, Tommi S. (Tommi Sakari) Department of Electrical Engineering and Computer Science Read it Leveraging high-throughput datasets for studies of gene regulation Yen, Angela (2011) Advisor: Manolis Kellis Department of Electrical Engineering and Computer Science Read it RNA : algorithms, evolution and design Schnall-Levin, Michael (Michael Benjamin) (2011) Advisor: Bonnie Berger Department of Mathematics Read it Computational methods for high-throughput pooled genetic experiments Edwards, Matthew Douglas (2011) Advisor: David K. Gifford Department of Electrical Engineering and Computer Science Read it Identifying protein-coding genes and synonymous constraint elements using phylogenetic codon models Lin, Michael F. (Michael Fong-Jay) (2012) Advisor: Manolis Kellis Department of Electrical Engineering and Computer Science Read it Simultaneous computational discovery of DNA regulatory motifs and transcription factor binding constraints at high spatial resolution Guo, Yuchun (2012) Advisor: David K. Gifford Computational and Systems Biology Program Read it Uncovering the variability, regulatory roles and mutation rates of short tandem repeats Willems, Thomas F. (Thomas Frederick) (2016) Advisors: Manolis Kellis; Yaniv Erlic Computational and Systems Biology Program Read it Information-sharing models for computational genetics Edwards, Matthew Douglas (2016) Advisor: David K. Gifford Department of Electrical Engineering and Computer Science Read it Deciphering genetic associations using genome-wide epigenomics approaches Wang, Xinche (2017) Advisors: Laurie A. Boyer; Manolis Kellis Department of Biology Read it Convergence of regulatory mutations into oncogenic pathways across multiple tumor types Murugadoss, Karthik (2017) Advisor: Manolis Kellis Computation for Design and Optimization Program Read it Hamlet is a project by Andromeda Yelton. Code hosted with ♥ on GitHub. Hamlet logo by Krisztián Mátyás used under the Creative Commons Attribution License.