Computationally Efficient Bayesian Estimation of Graphical Networks for Omics Data.

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Bibliographic Details
Title: Computationally Efficient Bayesian Estimation of Graphical Networks for Omics Data.
Authors: Adrian DW; Grand Valley State University, Allendale, Michigan 49401, United States., VonKaenel ED; Pacific Northwest National Laboratory, Richland, Washington 99354, United States., Obiri MY; Pacific Northwest National Laboratory, Richland, Washington 99354, United States., Degnan DJ; Pacific Northwest National Laboratory, Richland, Washington 99354, United States., Sims AC; Pacific Northwest National Laboratory, Richland, Washington 99354, United States., Oxford K; Pacific Northwest National Laboratory, Richland, Washington 99354, United States., Bramer LM; Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Source: Journal of proteome research [J Proteome Res] 2026 Jun 30. Date of Electronic Publication: 2026 Jun 30.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101128775 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1535-3907 (Electronic) Linking ISSN: 15353893 NLM ISO Abbreviation: J Proteome Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1535-3907
DOI:10.1021/acs.jproteome.5c01277