New Method Could Help Identify Disease-Related Genes, Pathways Carnegie Mellon University computer scientists have taken a deep learning method that has revolutionized face recognition and other image-based applications in recent years and redirected its power to explore the relationship between genes. The trick, they say, is to transform massive amounts of gene expression data into […]
Robert F. Murphy, the Ray and Stephanie Lane Professor of Computational Biology and head of the Computational Biology Department at Carnegie Mellon University, has been elevated to fellow status in the Institute of Electrical and Electronics Engineers (IEEE), the world’s largest technical professional organization. Murphy is also professor of Biological Sciences and holds courtesy appointments in the Biomedical Engineering and Machine Learning departments. Fellow status […]
Noah Lee, a senior in the Computational Biology Undergraduate program, has been elected to the prestigious academic honor society Phi Beta Kappa. Phi Beta Kappa was founded in 1776 and is the nation’s oldest and most distinguished undergraduate academic honor society. With chapters at only 286 colleges and universities across the US, Phi Beta Kappa […]
Algorithm Also Works to Identify and Correct Mistakes It Might Have Made Computational biologists at Carnegie Mellon University have devised an algorithm to rapidly sort through mountains of gene expression data to find unexpected phenomena that might merit further study. What’s more, the algorithm then re-examines its own output, looking for mistakes it has […]
Yang Yang, a Ph.D. student in Jian Ma‘s lab, was recognized during Rising Stars 2019, an intensive workshop for women graduate students who are pursuing careers in computer science, computer engineering, and electrical engineering. The participants in this year’s workshop were chosen from a pool of approximately 300 applicants.
Thirty percent of the top selected papers at RECOMB/ISCB Regulatory Systems Genomics 2019 are from the CMU Computational Biology Department: A web server for comparative analysis of single-cell RNA-seq data (Nat Commun. 2018) Alavi A, Ruffalo M, Parvangada A, Huang Z, Bar-Joseph Z Continuous-Trait Probabilistic Model for Comparing Multi-species Functional Genomic Data (Cell Systems 2018) […]
Machine Learning Enhances Study of 3D Genome Structure in Cell Nucleus Computational methods used to fill in missing pixels in low-quality images or video also can help scientists provide missing information for how DNA is organized in the cell, computational biologists at Carnegie Mellon University have shown. Filling in this missing information will make it […]
CMU Software Tool Speeds Discovery Using Microbial Datasets Computational biologists at Carnegie Mellon University have devised a software tool that can play a high-speed “Match Game” to identify bioactive molecules and the microbial genes that produce them so they can be evaluated as possible antibiotics and other therapeutic agents. Working with colleagues at the University […]