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Peer Review reports

From: Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease

Original Submission
26 May 2020 Submitted Original manuscript
28 May 2020 Author responded Author comments - Yaozhong Liu
Resubmission - Version 2
28 May 2020 Submitted Manuscript version 2
1 Jun 2020 Author responded Author comments - Yaozhong Liu
Resubmission - Version 3
1 Jun 2020 Submitted Manuscript version 3
28 Jun 2020 Reviewed Reviewer Report
14 Aug 2020 Reviewed Reviewer Report
18 Aug 2020 Author responded Author comments - Yaozhong Liu
Resubmission - Version 4
18 Aug 2020 Submitted Manuscript version 4
29 Sep 2020 Reviewed Reviewer Report
12 Oct 2020 Reviewed Reviewer Report
16 Oct 2020 Author responded Author comments - Yaozhong Liu
Resubmission - Version 5
16 Oct 2020 Submitted Manuscript version 5
20 Nov 2020 Author responded Author comments - Yaozhong Liu
Resubmission - Version 6
20 Nov 2020 Submitted Manuscript version 6
8 Dec 2020 Author responded Author comments - Yaozhong Liu
Resubmission - Version 7
8 Dec 2020 Submitted Manuscript version 7
Publishing
9 Dec 2020 Editorially accepted
28 Jan 2021 Article published 10.1186/s12872-020-01819-0

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