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BDDN: bayesian dynamic differential network analysis in cancer proteomics.

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Title: BDDN: bayesian dynamic differential network analysis in cancer proteomics.
Authors: Kim J; Department of Biostatistics and Computing, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul, 03722, Republic of Korea., Lee D; Department of Statistics and Data Science, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul, 03722, Republic of Korea., Park J; Department of Statistics and Data Science, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul, 03722, Republic of Korea.; Department of Applied Statistics, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul, 03722, Republic of Korea., Jin IH; Department of Statistics and Data Science, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul, 03722, Republic of Korea. ijin@yonsei.ac.kr.; Department of Applied Statistics, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul, 03722, Republic of Korea. ijin@yonsei.ac.kr., Ha MJ; Biohealth Data Science, Graduate School of Transdisciplinary Health Science, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul, 03722, Republic of Korea. mjha@yuhs.ac.; Department of Biohealth Data Science, Yonsei University, 50 Yonsei-ro, Seodaemungu, Seoul, 03722, Republic of Korea. mjha@yuhs.ac.
Source: BMC bioinformatics [BMC Bioinformatics] 2026 Feb 26; Vol. 27 (1). Date of Electronic Publication: 2026 Feb 26.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1471-2105
DOI:10.1186/s12859-026-06371-w