Publications by authors named "Collin Wang"
Article Synopsis
- Multi-omics datasets are increasingly popular, creating a need for integration methods to unlock their potential, which is addressed by a new technique called multi-set correlation and factor analysis (MCFA) that aids in analyzing complex genomic data.
- MCFA was applied to various biological data (methylation, protein, RNA, and metabolite levels) from 614 samples, revealing strong clustering by ancestry without the need for genetic data and highlighting unique technical variations in individual datasets.
- The study also incorporated genetic data through a genome-wide association study (GWAS), identifying several factors linked to genetic traits and metabolic diseases, thereby setting a groundwork for future research using large multi-modal genomic datasets.
Identifying the tissue-specific molecular signatures of active regulatory elements is critical to understand gene regulatory mechanisms. Here, we identify transcription start sites (TSS) using cap analysis of gene expression (CAGE) across 57 human pancreatic islet samples. We identify 9,954 reproducible CAGE tag clusters (TCs), ∼20% of which are islet specific and occur mostly distal to known gene TSS.
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