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Michael F. Adamer

As seen in: arXiv, BioRxiv
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Articles

Bacterial protein function prediction via multimodal deep learning

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By Michael F. Adamer, Karsten Borgwardt, Giulia Muzio, Leyden Fernandez
| BioRxiv
Abstract Bacterial proteins are specialized with extensive functional diversity for survival in diverse and stressful environments. A significant portion of these proteins remains functionally uncharacterized, limiting our understanding of bacterial survival mechanisms. Hence, we developed Deep Expression STructure (DeepEST), a multimodal deep learning framework designed to accurately predict protein function in bacteria by assigning Gene Ontology (GO) terms.
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Genetic prediction of quantitative traits: a machine learner's guide focused on height

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By Caroline Weis, Catherine R. Jutzeler, Michael F. Adamer
| arXiv
[Submitted on 6 Oct 2023] Title:Genetic prediction of quantitative traits: a machine learner's guide focused on height Download a PDF of the paper titled Genetic prediction of quantitative traits: a machine learner's guide focused on height, by Lucie Bourguignon and Caroline Weis and Catherine R.
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SIMBSIG: Similarity search and clustering for biobank-scale data

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By Michael F. Adamer, Karsten Borgwardt, Eljas Roellin, Lucie Bourguignon
| 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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