Peer Review reports
From: Machine learning techniques on homological persistence features for prostate cancer diagnosis
Original Submission | ||
---|---|---|
14 Apr 2022 | Submitted | Original manuscript |
Resubmission - Version 2 | ||
Submitted | Manuscript version 2 | |
Resubmission - Version 3 | ||
Submitted | Manuscript version 3 | |
Resubmission - Version 4 | ||
Submitted | Manuscript version 4 | |
21 May 2022 | Reviewed | Reviewer Report |
3 Jun 2022 | Reviewed | Reviewer Report |
20 Jun 2022 | Author responded | Author comments - Abbas Rammal |
Resubmission - Version 5 | ||
20 Jun 2022 | Submitted | Manuscript version 5 |
8 Jul 2022 | Author responded | Author comments - Abbas Rammal |
Resubmission - Version 6 | ||
8 Jul 2022 | Submitted | Manuscript version 6 |
18 Jul 2022 | Author responded | Author comments - Abbas Rammal |
Resubmission - Version 7 | ||
18 Jul 2022 | Submitted | Manuscript version 7 |
1 Aug 2022 | Reviewed | Reviewer Report |
1 Aug 2022 | Reviewed | Reviewer Report |
16 Aug 2022 | Author responded | Author comments - Abbas Rammal |
Resubmission - Version 8 | ||
16 Aug 2022 | Submitted | Manuscript version 8 |
18 Aug 2022 | Author responded | Author comments - Abbas Rammal |
Resubmission - Version 9 | ||
18 Aug 2022 | Submitted | Manuscript version 9 |
19 Sep 2022 | Author responded | Author comments - Abbas Rammal |
Resubmission - Version 10 | ||
19 Sep 2022 | Submitted | Manuscript version 10 |
10 Oct 2022 | Author responded | Author comments - Abbas Rammal |
Resubmission - Version 11 | ||
10 Oct 2022 | Submitted | Manuscript version 11 |
Publishing | ||
18 Oct 2022 | Editorially accepted | |
12 Nov 2022 | Article published | 10.1186/s12859-022-04992-5 |
You can find further information about peer review here.