Identifying enhancer-driven subtype-specific prognostic markers in breast cancer based on multi-omics data.

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Bibliographic Details
Title: Identifying enhancer-driven subtype-specific prognostic markers in breast cancer based on multi-omics data.
Authors: Zhao H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Zhang S; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Yin X; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Zhang C; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Wang L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Liu K; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Xu H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Liu W; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Bo L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Lin S; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Feng K; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Lin L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Fei M; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Ning S; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China., Wang L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Source: Frontiers in immunology [Front Immunol] 2022 Oct 11; Vol. 13, pp. 990143. Date of Electronic Publication: 2022 Oct 11 (Print Publication: 2022).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-3224
DOI:10.3389/fimmu.2022.990143