
Stanford Plevritis Lab
@plevritislab
The Cancer Systems Biology Lab at Stanford, led by PI Sylvia Plevritis, is working to improve early detection and treatment strategies for individual patients.
ID: 1149748490299273216
12-07-2019 18:32:56
44 Tweet
253 Followers
106 Following


Please RT: faculty position at Stanford! PhD, MD, MD/PhD candidates in the broadly-defined fields of pediatric cancer or stem cell transplant, laboratory and/or computational research programs welcome. Amazing environment! Feel free to contact me + check: app.smartsheet.com/b/form/ac9a220…

Are you a cancer researcher and interested in an editorial career? We have a job opening for 2022. If you have experience in pre-clinical or clinical CANCER RESEARCH we'd love to hear from you! go.nature.com/3dVKYro Katie Ridd for questions! #CancerResearch Cancer at Nature Portfolio


Announcing our newest work on spatial fibroblast heterogeneity and #glycosylation, out now in Cancer Research and led by Dr. Gina Bouchard @Gina78593734! cancerres.aacrjournals.org/content/early/…

New results from the Stanford Plevritis Lab now available in "Identification of cell types in multiplexed in situ images by combining protein expression and spatial information using CELESTA reveals novel spatial biology!" #CancerResearch #DataScience biorxiv.org/content/10.110…


Excited to hosting my mentor Dr Sylvia Plevritis from Stanford Plevritis Lab StanfordDBDS at this week's Cancer Prevention & Control Grand Rounds MD Anderson Cancer Center. Join us to learn from a renowned expert how simulation models can offer insights on cancer biology & outcomes. Can't wait!


What a great panel with these rockstars highlighting the importance of mentorship, diversity, and team science!! #WiDS2022 Data Science in Healthcare: Opportunities & Challenges Stanford Plevritis Lab @tanveersyedama1 Jinoos Yazdany


Nice perspective on collaborative work revealing changes in the O-glycoproteome associated with tumor microenvironment. Led by Gina Bouchard of Stanford Plevritis Lab, including postdoc Nick Riley and colleague Sharon Pitteri Stanford Medicine aacrjournals.org/cancerres/arti…


Wendy Yang in the lab reviewed the existing ML methods (prediction & interpretation) for predicting 3D genome features using DNA sequences. This will be in a Special Issue Journal of Molecular Biology on AI/ML for mol bio edited by James Zou Stanford Plevritis Lab Hongzhe Li. sciencedirect.com/science/articl…