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[Submitted on 9 Nov 2024] Title:Concept Bottleneck Language Models For protein design Authors:Aya Abdelsalam Ismail , Tuomas Oikarinen , Amy Wang , Julius Adebayo , Samuel Stanton , Taylor Joren , Joseph Kleinhenz , Allen Goodman , Héctor Corrada Bravo , Kyunghyun Cho , Nathan C.
Abstract The particularly interdisciplinary nature of human microbiome research makes the organization and reporting of results spanning epidemiology, biology, bioinformatics, translational medicine and statistics a challenge. Commonly used reporting guidelines for observational or genetic epidemiology studies lack key features specific to microbiome studies.
Abstract Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain1,2,3. With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization.
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