194 related articles for article (PubMed ID: 31405076)
21. Multi-omics facilitated variable selection in Cox-regression model for cancer prognosis prediction.
Liu C; Wang X; Genchev GZ; Lu H
Methods; 2017 Jul; 124():100-107. PubMed ID: 28627406
[TBL] [Abstract][Full Text] [Related]
22. Meta-analysis of several gene lists for distinct types of cancer: a simple way to reveal common prognostic markers.
Yang X; Sun X
BMC Bioinformatics; 2007 Apr; 8():118. PubMed ID: 17411443
[TBL] [Abstract][Full Text] [Related]
23. Two-step multi-omics modelling of drug sensitivity in cancer cell lines to identify driving mechanisms.
Kusch N; Schuppert A
PLoS One; 2020; 15(11):e0238961. PubMed ID: 33226984
[TBL] [Abstract][Full Text] [Related]
24. Multiplatform Integrative Analysis of Immunogenomic Data for Biomarker Discovery.
Thorsson V
Methods Mol Biol; 2020; 2055():679-698. PubMed ID: 31502174
[TBL] [Abstract][Full Text] [Related]
25. Integrated multiomic predictors for ovarian cancer survival.
Fu A; Chang HR; Zhang ZF
Carcinogenesis; 2018 Jul; 39(7):860-868. PubMed ID: 29897425
[TBL] [Abstract][Full Text] [Related]
26. Integrative pathway-based survival prediction utilizing the interaction between gene expression and DNA methylation in breast cancer.
Kim SY; Kim TR; Jeong HH; Sohn KA
BMC Med Genomics; 2018 Sep; 11(Suppl 3):68. PubMed ID: 30255812
[TBL] [Abstract][Full Text] [Related]
27. Integrative analysis and variable selection with multiple high-dimensional data sets.
Ma S; Huang J; Song X
Biostatistics; 2011 Oct; 12(4):763-75. PubMed ID: 21415015
[TBL] [Abstract][Full Text] [Related]
28. Mass spectrometry-based "omics" technologies in cancer diagnostics.
Zhang X; Wei D; Yap Y; Li L; Guo S; Chen F
Mass Spectrom Rev; 2007; 26(3):403-31. PubMed ID: 17405143
[TBL] [Abstract][Full Text] [Related]
29. A Novel MKL Method for GBM Prognosis Prediction by Integrating Histopathological Image and Multi-Omics Data.
Zhang Y; Li A; He J; Wang M
IEEE J Biomed Health Inform; 2020 Jan; 24(1):171-179. PubMed ID: 30763249
[TBL] [Abstract][Full Text] [Related]
30. A pan-cancer perspective of matrix metalloproteases (MMP) gene expression profile and their diagnostic/prognostic potential.
Gobin E; Bagwell K; Wagner J; Mysona D; Sandirasegarane S; Smith N; Bai S; Sharma A; Schleifer R; She JX
BMC Cancer; 2019 Jun; 19(1):581. PubMed ID: 31200666
[TBL] [Abstract][Full Text] [Related]
31. Integrating multidimensional omics data for cancer outcome.
Zhu R; Zhao Q; Zhao H; Ma S
Biostatistics; 2016 Oct; 17(4):605-18. PubMed ID: 26980320
[TBL] [Abstract][Full Text] [Related]
32. Integrative analysis of multiple cancer prognosis studies with gene expression measurements.
Ma S; Huang J; Wei F; Xie Y; Fang K
Stat Med; 2011 Dec; 30(28):3361-71. PubMed ID: 22105693
[TBL] [Abstract][Full Text] [Related]
33. Genomics of pancreatic ductal adenocarcinoma.
Pilarsky C; Grutzmann R
Hepatobiliary Pancreat Dis Int; 2014 Aug; 13(4):381-5. PubMed ID: 25100122
[TBL] [Abstract][Full Text] [Related]
34. Identification of Gene Expression Pattern Related to Breast Cancer Survival Using Integrated TCGA Datasets and Genomic Tools.
Huang Z; Duan H; Li H
Biomed Res Int; 2015; 2015():878546. PubMed ID: 26576432
[TBL] [Abstract][Full Text] [Related]
35. Evaluation and comparison of multi-omics data integration methods for cancer subtyping.
Duan R; Gao L; Gao Y; Hu Y; Xu H; Huang M; Song K; Wang H; Dong Y; Jiang C; Zhang C; Jia S
PLoS Comput Biol; 2021 Aug; 17(8):e1009224. PubMed ID: 34383739
[TBL] [Abstract][Full Text] [Related]
36. A retrospective likelihood approach for efficient integration of multiple omics factors in case-control association studies.
Balliu B; Tsonaka R; Boehringer S; Houwing-Duistermaat J
Genet Epidemiol; 2015 Mar; 39(3):156-65. PubMed ID: 25620726
[TBL] [Abstract][Full Text] [Related]
37. Novel secretome-to-transcriptome integrated or secreto-transcriptomic approach to reveal liquid biopsy biomarkers for predicting individualized prognosis of breast cancer patients.
Ankney JA; Xie L; Wrobel JA; Wang L; Chen X
BMC Med Genomics; 2019 May; 12(1):78. PubMed ID: 31146747
[TBL] [Abstract][Full Text] [Related]
38. Investigation of lipid metabolism dysregulation and the effects on immune microenvironments in pan-cancer using multiple omics data.
Hao Y; Li D; Xu Y; Ouyang J; Wang Y; Zhang Y; Li B; Xie L; Qin G
BMC Bioinformatics; 2019 May; 20(Suppl 7):195. PubMed ID: 31074374
[TBL] [Abstract][Full Text] [Related]
39. TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data.
Colaprico A; Silva TC; Olsen C; Garofano L; Cava C; Garolini D; Sabedot TS; Malta TM; Pagnotta SM; Castiglioni I; Ceccarelli M; Bontempi G; Noushmehr H
Nucleic Acids Res; 2016 May; 44(8):e71. PubMed ID: 26704973
[TBL] [Abstract][Full Text] [Related]
40. Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification.
Wu D; Wang D; Zhang MQ; Gu J
BMC Genomics; 2015 Dec; 16():1022. PubMed ID: 26626453
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]