Carnegie Mellon University
Joint Carnegie Mellon-University of Pittsburgh Ph.D. Program in Computational Biology  ›  News  ›  2018
Wednesday, November 14, 2018

Neural Nets Supplant Marker Genes in Analyzing Single Cell RNA Sequencing

Computer scientists at Carnegie Mellon University say neural networks and supervised machine learning techniques can efficiently characterize cells that have been studied using single cell RNA-sequencing (scRNA-seq). This finding could help researchers identify new cellsubtypes and differentiate between healthy and diseased cells.
Monday, September 10, 2018

Anne-Ruxandra Carvunis, PhD Receives 2018 Trailblazer Award
Monday, August 27, 2018

CPCB’s Biggest Incoming Class Starts Their First Day of Classes

A total of 21 students have joined the program
Dr. Anne-Ruxandra Carvunis named 2018 SEARLE Scholar
Wednesday, May 16, 2018

Dr. Anne-Ruxandra Carvunis named 2018 SEARLE Scholar

Dr. Anne-Ruxandra Carvunis named 2018 SEARLE Scholar
New Carnegie Mellon Dynamic Statistical Model Follows Gene Expressions Over Time
Tuesday, February 06, 2018

New Carnegie Mellon Dynamic Statistical Model Follows Gene Expressions Over Time

Researchers at Carnegie Mellon University have developed a new dynamic statistical model to visualize changing patterns in networks, including gene expression during developmental periods of the brain.
First Year PhD student has first-authored paper accepted
Thursday, January 11, 2018

First Year PhD student has first-authored paper accepted

Xiangrui Zeng's first-authored paper detailing the outcome of this project title “A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation” has been accepted by Journal of Structural Biology.
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