Kernel-based hierarchical structural component models for pathway analysis on survival phenotype.

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作者： Suhyun,Hwangbo ^[1] ; Sungyoung,Lee ^[2] ; Md Mozaffar,Hosain ^[3] ; Taewan,Goo ^[4] ; Seungyeoun,Lee ^[5] ; Inyoung,Kim ^[6] ; Taesung,Park ^[7]

作者单位： Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 151-747, Korea.;Department of Genomic Medicine, Seoul National University Hospital, Seoul, 03080, Korea. ^[1] Department of Genomic Medicine, Seoul National University Hospital, Seoul, 03080, Korea. ^[2] Department of Statistics, Seoul National University, Seoul, 151-747, Korea. ^[3] Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 151-747, Korea. ^[4] Department of Mathematics and Statistics, Sejong University, Sejong, 05006, Korea. ^[5] Department of Statistics, Virginia Tech, Blacksburg, VA, 24060, USA. ^[6] Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 151-747, Korea. tspark@stats.snu.ac.kr.;Department of Statistics, Seoul National University, Seoul, 151-747, Korea. tspark@stats.snu.ac.kr. ^[7]

关键词 HisCoM-KernelS KEGG pathways Kernel machine regression Permutation test Survival phenotypes

主题词人类(Humans);胰腺肿瘤(Pancreatic Neoplasms);癌, 胰腺管(Carcinoma, Pancreatic Ductal);表型(Phenotype);算法(Algorithms);存活率分析(Survival Analysis)

DOI 10.1007/s13258-024-01569-9

PMID 39327384

发布时间 2024-11-28

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