Network-Based and Machine-Learning Approaches Identify Diagnostic and Prognostic Models for EMT-Type Gastric Tumors
Sadeghi, Mehdi, Karimi, Mohammad Reza, Karim, Amir Hossein, Farshbaf, Nafiseh Ghorbanpour, Barzegar, Abolfazl, and Schmitz, Ulf (2023) Network-Based and Machine-Learning Approaches Identify Diagnostic and Prognostic Models for EMT-Type Gastric Tumors. Genes, 14 (750).
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View at Publisher Website: https://doi.org/10.3390/genes14030750
Item ID: | 77927 |
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Item Type: | Article (Research - C1) |
ISSN: | 2073-4425 |
Copyright Information: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Funders: | National Health and Medical Research Council of Australia (NHMRC) |
Projects and Grants: | NHMRC 1196405 |
Date Deposited: | 20 Mar 2023 23:52 |
FoR Codes: | 32 BIOMEDICAL AND CLINICAL SCIENCES > 3211 Oncology and carcinogenesis > 321102 Cancer diagnosis @ 40% 31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310202 Biological network analysis @ 40% 46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461199 Machine learning not elsewhere classified @ 20% |
SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280103 Expanding knowledge in the biomedical and clinical sciences @ 100% |
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