This website is perpetually under construction. Thank you for your infinite patience!
Hello, my name is Meet Barot. I'm interested in machine learning, proteins, networks, and decentralization. I'm a PhD student at New York University in the Center for Data Science.
If you'd like to chat, email me at my name (no spaces or periods or anything) at nyu.edu.
Function SIG Talk Presentation Slides: seqSCAN: Unsupervised Classification of Proteins for New Function Discovery
Meet Barot, Vladimir Gligorijević, Kyunghyun Cho, Richard Bonneau, NetQuilt: deep multispecies network-based protein function prediction using homology-informed network similarity, Bioinformatics, 2021;, btab098, https://doi.org/10.1093/bioinformatics/btab098
Vladimir Gligorijević, Meet Barot, Richard Bonneau, deepNF: deep network fusion for protein function prediction, Bioinformatics, Volume 34, Issue 22, 15 November 2018, Pages 3873-3881, https://doi.org/10.1093/bioinformatics/bty440
As a function prediction method submitter to the CAFA 3 challenge:
Zhou, N., Jiang, Y., Bergquist, T.R. et al. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biol 20, 244 (2019). https://doi.org/10.1186/s13059-019-1835-8
Meet Barot, Daniel Berenberg, James Morton, Vladimir Gligorijević, Kyunghyun Cho, Richard Bonneau, (2020). Learning sequence, structure and network features for protein function prediction. 20-minute talk delivered virtually at the ISMB Conference. Recording
Meet Barot, Vladimir Gligorijević, Kyunghyun Cho, Richard Bonneau, (2019). Graph-Regularized Autoencoders for Protein Feature Learning. 10-minute talk delivered at the ISMB/ECCB Joint Conference, Basel, Switzerland. Recording
Zhuolin's jewelry store! (Etsy alternative)