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• W3217293710 abstract "There are many types of cancers. Although they share some hallmarks, such as proliferation and metastasis, they are still very different from many perspectives. They grow on different organ or tissues. Does each cancer have a unique gene expression pattern that makes it different from other cancer types? After the Cancer Genome Atlas (TCGA) project, there are more and more pan-cancer studies. Researchers want to get robust gene expression signature from pan-cancer patients. But there is large variance in cancer patients due to heterogeneity. To get robust results, the sample size will be too large to recruit. In this study, we tried another approach to get robust pan-cancer biomarkers by using the cell line data to reduce the variance. We applied several advanced computational methods to analyze the Cancer Cell Line Encyclopedia (CCLE) gene expression profiles which included 988 cell lines from 20 cancer types. Two feature selection methods, including Boruta, and max-relevance and min-redundancy methods, were applied to the cell line gene expression data one by one, generating a feature list. Such list was fed into incremental feature selection method, incorporating one classification algorithm, to extract biomarkers, construct optimal classifiers and decision rules. The optimal classifiers provided good performance, which can be useful tools to identify cell lines from different cancer types, whereas the biomarkers (e.g. NCKAP1, TNFRSF12A, LAMB2, FKBP9, PFN2, TOM1L1) and rules identified in this work may provide a meaningful and precise reference for differentiating multiple types of cancer and contribute to the personalized treatment of tumors." @default.
• W3217293710 created "2021-12-06" @default.
• W3217293710 creator A5006207753 @default.
• W3217293710 creator A5008154879 @default.
• W3217293710 creator A5010738468 @default.
• W3217293710 creator A5019560977 @default.
• W3217293710 creator A5025077602 @default.
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• W3217293710 creator A5052775691 @default.
• W3217293710 creator A5066807605 @default.
• W3217293710 creator A5087124736 @default.
• W3217293710 date "2021-11-30" @default.
• W3217293710 modified "2023-09-25" @default.
• W3217293710 title "Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines" @default.
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