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Excited for Dr. Kale's seminar talk today!

Happy to share our latest work on #LargeScale #ProteinFunctionPrediction using #Heterogeneous #Ensemble and #High #performance #Computing. Please give feedback. A | W Jeff Law @SDKaleVT Icahn Genomics Institute

#GameKnights FAN vs Game Knights l youtu.be/bG4h_C9eUHg via YouTube

The 'ecological foundations of society' are in peril, a massive UN report warns - CNN cnn.com/2019/03/13/hea…

Super excited to share our recent paper on: "Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data" biorxiv.org/content/10.110… … … #scrnaseq #benchmarking

Excited to share our new work on speeding up network-based gene function prediction methods! doi.org/10.1101/646687

Our ISMB/ECCB'19 proceedings paper on "Reconstructing signaling pathways using regular language constrained paths" is now available online 🙂academic.oup.com/bioinformatics… #ISMBECCB2019

EnLIGHTening perspective reddit.com/r/dataisbeauti…

Our BEELINE paper evaluating algorithms for inferring gene regulatory networks (GRNs) from scRNA-seq data is out! nature.com/articles/s4159… Led by Aditya with contributions from novick-szilard stan account Jeff Law Aditya Bharadwaj. Virginia Tech Computer Science GBCB Here are the highlights. (1/13)

Nice work novick-szilard stan account !!!

In the middle of all that's going on, here's something different. Introducing our new method for #DataIntegration through #heterogeneous #ensembles. Great collaboration with A | W T. M. Murali Jeff Law biorxiv.org/content/10.110…

Our approach to prioritize promising drug targets for #COVID19 is online: arxiv.org/abs/2006.01968. Collaboration with Simon Kasif, Padma Rajagopalan, Mark Crovella, Judith Klein and Meghana Kshirsagar. Our code is available at github.com/Murali-group/S…

If you are attending #ISMB2020, my talk on "Identifying Human Interactors of SARS-CoV-2 Proteins and Drug Targets for COVID-19 using Network Based Label Propagation" is at at 5:00pm EST today. Come check it out! Here's the link to my poster: iscb-ismb20.myconferencenow.com/poster/a-netwo…

Happy to share the very latest version of this work: biorxiv.org/content/10.110…. Contains even more details of methods and results on using #heterogeneous #ensembles for #dataintegration #prediction. Work led by Yan Chak (Richard) Li and great collaboration w/ T. M. Murali A | W Jeff Law

How do we predict stable structures from unrelaxed geometries using GNN? We propose an upper-bound energy minimization approach in our new study funded by ARPA-E DIFFERENTIATE. Study led by Jeff Law, Peter St. John NREL #compchem Preprint ChemRxiv: doi.org/jczg

Super excited to share the lab's foundational paper on #dataintegration and #PredictiveAnalytics using #heterogeneous #ensembles. This EI framework enables an effective integration of local and global info in #multimodal data #MachineLearning #biomedicine academic.oup.com/bioinformatics…

The only thing more absurd than what our kids have sacrificed for drivers, is how we've completely normalized it.

Upper-Bound Energy Minimization to Search for Stable Functional Materials with Graph Neural Networks Jeff Law, Shubham Pandey, Prashun Gorai, and Peter C. St. John Check it out 👉 go.acs.org/3y3 NREL #openaccess