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Peer Review reports

From: Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions

Original Submission
3 Dec 2023 Submitted Original manuscript
15 Dec 2023 Reviewed Reviewer Report
16 Dec 2023 Reviewed Reviewer Report
16 Dec 2023 Reviewed Reviewer Report
26 Dec 2023 Reviewed Reviewer Report
28 Feb 2024 Author responded Author comments - Andreas Schuppert
2 Mar 2024 Author responded Author comments - Andreas Schuppert
Resubmission - Version 2
28 Feb 2024 Submitted Manuscript version 2
8 Mar 2024 Author responded Author comments - Andreas Schuppert
Resubmission - Version 3
8 Mar 2024 Submitted Manuscript version 3
15 Mar 2024 Reviewed Reviewer Report
19 Mar 2024 Reviewed Reviewer Report
Resubmission - Version 4
Submitted Manuscript version 4
Publishing
9 Apr 2024 Editorially accepted
20 Apr 2024 Article published 10.1186/s12859-024-05769-8

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