Our study on classifying T cell activity with convolutional neural networks has been posted as a bioRxiv preprint.
Our manuscript on selecting chemicals to characterize new kinase targets has been published.
Congratulations to Jay for winning a 2019 University Book Store Academic Excellence Award for his honors thesis on T cell classification!
Come to GLBIO 2019 to see the latest research from our group. We will present 4 talks and 3 posters.
Our SCINGE manuscript on gene regulatory network inference with single-cell RNA-seq is available on bioRxiv.
Shengchao presented early results on negative transfer in multi-task chemical bioactivity prediction at the AAAI 2019 student abstract program.
Ben Kaufman has joined the group for a rotation. Welcome Ben!
Our manuscript Practical model selection for prospective virtual screening has been published with software on GitHub.
We contributed to a drug function prediction study that is now available on bioRxiv.
Our Temporal Pathway Synthesizer manuscript has been published.
Congratulations to Shengchao, who graduated with his M.S. in Computer Sciences!
A preprint of our manuscript on open collaborative writing with Manubot is now available. See the latest verison here.
Our manuscript Practical model selection for prospective virtual screening is available on bioRxiv with software on GitHub.
We are excited to be part of the new John W. and Jeanne M. Rowe Center for Research in Virology at the Morgridge Institute.
Our yeast salt stress network inference paper in collaboration with the Gasch and Coon labs has been published in PLoS Computational Biology.
Congratulations to Jay Wang, who was awarded a Honors Senior Thesis Summer Research Grant!
Our review Opportunities and obstacles for deep learning in biology and medicine has been published along with a press release and Naturejobs blog about the open, collaborative writing process.
Congratulations to Chris Magnano, who was awarded a CIBM predoctoral fellowship!
The Disease Module Identification DREAM Challenge paper, which includes Aaron and Anthony as consortium members, has been posted on bioRxiv.
An updated version of Opportunities and obstacles for deep learning in biology and medicine is available on bioRxiv along with an article about the open, collaborative writing process.
Congratulations to Sam Gelman, who was awarded a PhRMA Foundation Pre-Doctoral Fellowship in Informatics!
Anthony answers a Blue Sky Science question about whether scientists could build a virtual brain and body for research.
We have been awarded NIH Commons Credits for cloud computing resources in support of our drug discovery research.
Graduate student Sam Gelman joins the lab. Welcome Sam!
Our open, collaborative preprint Opportunities and obstacles for deep learning in biology and medicine is available on bioRxiv.
Our systems biology study of KSHV latent infection with collaborators at the University of Washington is available at PLoS Pathogens.
A postdoctoral fellow position is available in the Gitter Lab in collaboration with the Gasch Lab in genetics.