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Allen Tannenbaum on Muck Rack

Allen Tannenbaum

As seen in: Nature, BioRxiv, SIAM News
Dr. Allen Tannenbaum is a distinguished researcher and professor of applied mathematics.
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Articles

Author Correction: Cerebral amyloid angiopathy is associated with glymphatic transport reduction and time-delayed solute drainage along the neck arteries | Nature Aging

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By Xinan Chen, Rena Elkin, Jonathan Kipnis, Allen Tannenbaum, Brittany Monte
| Nature Verified
Correction to: Nature Aging https://doi.org/10.1038/s43587-022-00181-4, published online 7 March 2022. In the version of this article initially published, the traces shown in Fig. 4j were accidental duplicates of Fig. 4h, and are now updated in the HTML and PDF versions of the article. About this article Chen, X., Liu, X., Koundal, S. et al. Author Correction: Cerebral amyloid angiopathy is associated with glymphatic transport reduction and time-delayed solute drainage along the neck arteries.
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Automatic identification of drug-induced liver injury literature using natural language processing and machine learning methods

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By Jung Hun Oh, Allen Tannenbaum, Joseph Deasy, Stony Brook
| BioRxiv
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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Multi-omic integrated curvature study on pan-cancer genomic data

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By Jiening Zhu, Anh Tran, Joseph Deasy, Allen Tannenbaum
| BioRxiv
New Results View ORCID ProfileJiening Zhu, Anh Phong Tran, Joseph O. Deasy, Allen R Tannenbaum doi: https://doi.org/10.1101/2022.03.24.485712 Abstract In this work, we introduce a new mathematical framework based on network curvature to extract significant cancer subtypes from multi-omics data. This extends our previous work that was based on analyzing a fixed single -omics data class (e,g,, CNA, gene expression, etc.).
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