Gerstein Lab | Yale (@gersteinlab) 's Twitter Profile
Gerstein Lab | Yale

@gersteinlab

Research in #Biomedical #DataScience & #Bioinformatics #CompBio.
@MarkGerstein AT @YaleMBB @YaleMed

ID: 80070777

linkhttp://www.gersteinlab.org calendar_today05-10-2009 16:58:18

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492 Followers

201 Following

Gerstein Lab | Yale (@gersteinlab) 's Twitter Profile Photo

New Cell Reports Physical Science paper by Gaoyuan Wang, Jonathan Warrell, Suchen Zheng and Mark Gerstein! 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…

New <a href="/CellRepPhysSci/">Cell Reports Physical Science</a> paper by Gaoyuan Wang, Jonathan Warrell, Suchen Zheng and <a href="/MarkGerstein/">Mark Gerstein</a>! 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…
Gerstein Lab | Yale (@gersteinlab) 's Twitter Profile Photo

New PLOS One paper by Xiao Zhou, Sanchita Kedia, Ran Meng, and Mark Gerstein. 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 <a href="/PLOSONE/">PLOS One</a> paper by Xiao Zhou, Sanchita Kedia, Ran Meng, and <a href="/MarkGerstein/">Mark Gerstein</a>. 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…
Mark Gerstein (@markgerstein) 's Twitter Profile Photo

Excited to share our new paper in Cell on Digital Phenotyping from Wearable Biosensors using AI to characterize Psychiatric Disorders & identify Genetic Associations (led by Jason Liu & Beatrice Borsari) doi.org/10.1016/j.cell…

Excited to share our new paper in <a href="/CellCellPress/">Cell</a> on Digital Phenotyping from Wearable Biosensors using AI to characterize Psychiatric Disorders &amp; identify Genetic Associations (led by <a href="/JasonJLiu/">Jason Liu</a> &amp; <a href="/beaborsari/">Beatrice Borsari</a>) doi.org/10.1016/j.cell…
SusannaXLiu (@susannaliu99) 's Twitter Profile Photo

I am very excited to share that our(Gerstein Lab | Yale) 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?

I am very excited to share that our(<a href="/GersteinLab/">Gerstein Lab | Yale</a>) 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?
Gerstein Lab | Yale (@gersteinlab) 's Twitter Profile Photo

New Physical Review A paper by Gaoyuan Wang, Jonathan Warrell, Prashant Emani and Mark Gerstein ! Check out our new model QVAE, a fully quantum variational autoencoder with latent regularization: journals.aps.org/pra/abstract/1…

New <a href="/PhysRevA/">Physical Review A</a> paper by Gaoyuan Wang, Jonathan Warrell, Prashant Emani and <a href="/MarkGerstein/">Mark Gerstein</a> ! Check out our new model QVAE, a fully quantum variational autoencoder with latent regularization: journals.aps.org/pra/abstract/1…
Gerstein Lab | Yale (@gersteinlab) 's Twitter Profile Photo

New Biophysical Journal paper by Alan Ianeselli, Joe Howard and Mark Gerstein . 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 <a href="/BiophysJ/">Biophysical Journal</a> paper by Alan Ianeselli, Joe Howard and <a href="/MarkGerstein/">Mark Gerstein</a> . A Molecular Dynamics algorithm to rapidly compute protein folding pathways and identify folding intermediates for targeted drug discovery! doi.org/10.1016/j.bpj.…
Gerstein Lab | Yale (@gersteinlab) 's Twitter Profile Photo

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, Mark Gerstein doi.org/10.1016/j.jbi.…

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, <a href="/MarkGerstein/">Mark Gerstein</a>
doi.org/10.1016/j.jbi.…
Gerstein Lab | Yale (@gersteinlab) 's Twitter Profile Photo

📚 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)