Single-cell sequencing combined with machine learning reveals the mechanism of interaction between epilepsy and stress cardiomyopathy.

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Bibliographic Details
Title:	Single-cell sequencing combined with machine learning reveals the mechanism of interaction between epilepsy and stress cardiomyopathy.
Authors:	Ji X; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China., Pei Q; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China., Zhang J; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China., Lin P; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China., Li B; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China., Yin H; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China., Sun J; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China., Su D; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China., Qu X; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China., Yin D; Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Source:	Frontiers in immunology [Front Immunol] 2023 Jan 27; Vol. 14, pp. 1078731. Date of Electronic Publication: 2023 Jan 27 (Print Publication: 2023).
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.2023.1078731