scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data
Sign Up to like & getrecommendations! Published in 2024 at "BMC Bioinformatics"
DOI: 10.1186/s12859-024-05880-w
Abstract: The recent advances in high-throughput single-cell sequencing have created an urgent demand for computational models which can address the high complexity of single-cell multiomics data. Meticulous single-cell multiomics integration models are required to avoid biases… read more here.
Keywords: single cell; cell multiomics; cell; batch ... See more keywords
Multiomics Integration of Epigenetics, Proteomics, and Metabolomics Identifies Putative Drug Targets and Improves Early Prediction for Diabetes
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DOI: 10.2337/db25-0354
Abstract: Diabetes holds significant social importance due to its high incidence rate and multitude of associated complications. The identification of diabetes biomarkers and the understanding of the intricate biological mechanisms underlying diabetes are crucial for the… read more here.
Keywords: diabetes multiomics; signaling pathways; early prediction; prediction ... See more keywords
Multiomics integration reveals the effect of Orexin A on glioblastoma
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Pharmacology"
DOI: 10.3389/fphar.2023.1096159
Abstract: Objectives: This study involved a multi-omics analysis of glioblastoma (GBM) samples to elaborate the potential mechanism of drug treatment. Methods: The GBM cells treated with or without orexin A were acquired from sequencing analysis. Differentially… read more here.
Keywords: multiomics integration; glioblastoma; orexin; integration reveals ... See more keywords