Gerstein Lab | Yale @GersteinLab
Research in #Biomedical #DataScience & #Bioinformatics #CompBio. @MarkGerstein AT @YaleMBB @YaleMed gersteinlab.org Yale University Joined October 2009-
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📚 Yale students have returned to campus, so time for a roster meeting! We again made our Nobel Prize predictions (given how accurate we were last year 😉) 🥇Our top prediction is Habener & Knudsen (GLP-1) with 28.5% of the vote! 🥈 In second is Rothberg & David Klenerman (NGS)
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Our new paper in @JBI_Journal describes the iDASH-winning method for efficient blockchain storage of biomedical data. We cut gas costs by 60% and sped up retrieval 500x with low-level Solidity optimization. By Eric Ni, Elizabeth Knight, @MarkGerstein doi.org/10.1016/j.jbi.…
New @BiophysJ paper by Alan Ianeselli, Joe Howard and @MarkGerstein . A Molecular Dynamics algorithm to rapidly compute protein folding pathways and identify folding intermediates for targeted drug discovery! doi.org/10.1016/j.bpj.…
New @PhysRevA paper by Gaoyuan Wang, Jonathan Warrell, Prashant Emani and @MarkGerstein ! Check out our new model QVAE, a fully quantum variational autoencoder with latent regularization: journals.aps.org/pra/abstract/1…
Gerstein Lab | Yale retweeted
I am very excited to share that our(@GersteinLab) paper was recently published in Cell! 🎉☺️ doi.org/10.1016/j.cell… had a lot of fun creating two versions of covert art for our paper: which one do you like more?
🚨Alert: Funded postdoctoral position available in our lab!
🚨Alert: Funded postdoctoral position available in our lab!
Gerstein Lab | Yale retweeted
Excited to share our new paper in @CellCellPress on Digital Phenotyping from Wearable Biosensors using AI to characterize Psychiatric Disorders & identify Genetic Associations (led by @JasonJLiu & @beaborsari) doi.org/10.1016/j.cell…
New @PLOSONE paper by Xiao Zhou, Sanchita Kedia, Ran Meng, and @MarkGerstein. Our deep learning framework analyzes fMRI scans for early Alzheimer's Disease detection, achieving 92.8% accuracy with a focus on model interpretability: doi.org/10.1371/journa…
New @CellRepPhysSci paper by Gaoyuan Wang, Jonathan Warrell, Suchen Zheng and @MarkGerstein! Check out our GP-GNN framework that jointly learns graph structure and node representation, with the two optimization procedures dynamically informing each other: cell.com/cell-reports-p…
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