{"title":"Commentary on “A systematic review on machine learning and deep learning techniques in cancer survival prediction”: Validation of survival methods","authors":"J. Sidorova, J.J. Lozano","doi":"10.1016/j.pbiomolbio.2023.08.001","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54554,"journal":{"name":"Progress in Biophysics & Molecular Biology","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Biophysics & Molecular Biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0079610723000718","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
期刊介绍：
Progress in Biophysics & Molecular Biology is an international review journal and covers the ground between the physical and biological sciences since its launch in 1950. It indicates to the physicist the great variety of unsolved problems awaiting attention in biology and medicine. The biologist and biochemist will find that this journal presents new and stimulating ideas and novel approaches to studying and influencing structural and functional properties of the living organism. This journal will be of particular interest to biophysicists, biologists, biochemists, cell physiologists, systems biologists, and molecular biologists.
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