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4/28/2022 1:59:56 PM | Browse: 329 | Download: 1004
Publication Name Artificial Intelligence in Cancer
Manuscript ID 73891
Country/Territory France
Received
2021-12-09 16:13
Peer-Review Started
2021-12-09 16:14
To Make the First Decision
Return for Revision
2022-01-26 18:38
Revised
2022-02-16 15:00
Second Decision
2022-04-27 02:38
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-04-28 02:26
Articles in Press
2022-04-28 02:26
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-04-28 09:20
Publish the Manuscript Online
2022-04-28 13:59
ISSN 2644-3228 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Mathematical & Computational Biology
Manuscript Type Basic Study
Article Title Learning models for colorectal cancer signature reconstruction and classification in patients with chronic inflammatory bowel disease
Manuscript Source Unsolicited Manuscript
All Author List Mariem Abaach and Ian Morilla
ORCID
Author(s) ORCID Number
Mariem Abaach http://orcid.org/0000-0001-6855-7014
Ian Morilla http://orcid.org/0000-0002-5100-5990
Funding Agency and Grant Number
Funding Agency Grant Number
Agence nationale de la recherche 10-LABX-0017
Corresponding Author Ian Morilla, PhD, Assistant Professor, Research Associate, Laboratoire Analyse, Géométrie et Applications, Centre National de la Recherche Scientifique (Unité mixte de Recherche), Université Sorbonne Paris Nord, 99 avenue Jean Baptiste clément, Villetaneuse, Paris 93430, France. morilla@math.univ-paris13.fr
Key Words Inflammatory bowel disease; microRNA; Muti-group comparison; Machine learning; Colorectal cancer; Sparse partial least squares-discriminant analysis
Core Tip This study provides an optimised strategy based on classic learning methods and multi-group variable selection combination from 2600 microRNAs of 225 patients with one chronic inflammatory bowel disease to identify the minimal signature of microRNAs associated with the development of colorectal cancer in these patients.
Publish Date 2022-04-28 13:59
Citation Abaach M, Morilla I. Learning Models for Colorectal Cancer Signature Reconstruction and Classification in Patients with Chronic Inflammatory Bowel Disease. Artif Intell Cancer 2022; 3(2): 27-41
URL https://www.wjgnet.com/2644-3228/full/v3/i2/27.htm
DOI https://dx.doi.org/10.35713/aic.v3.i2.27
Full Article (PDF) AIC-3-27.pdf
Full Article (Word) AIC-3-27.docx
Manuscript File 73891_Auto_Edited-LJH.docx
Answering Reviewers 73891-Answering reviewers.pdf
Audio Core Tip 73891-Audio core tip.m4a
Biostatistics Review Certificate 73891-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 73891-Conflict-of-interest statement.pdf
Copyright License Agreement 73891-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 73891-Language certificate.pdf
Supplementary Material 73891-Supplementary material.pdf
Peer-review Report 73891-Peer-review(s).pdf
Scientific Misconduct Check 73891-Bing-Liu JH-2.jpg
Scientific Misconduct Check 73891-CrossCheck.jpg
Scientific Editor Work List 73891-Scientific editor work list.pdf