Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes
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Published in: | Genes & diseases Vol. 10; no. 6; pp. 2270 - 2273 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Netherlands
Elsevier B.V
01-11-2023
Chongqing Medical University KeAi Communications Co., Ltd |
Subjects: | |
Online Access: | Get full text |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
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ISSN: | 2352-3042 2352-4820 2352-3042 |
DOI: | 10.1016/j.gendis.2023.01.023 |