154 related articles for article (PubMed ID: 22497771)
1. Pathway-directed weighted testing procedures for the integrative analysis of gene expression and metabolomic data.
Poisson LM; Sreekumar A; Chinnaiyan AM; Ghosh D
Genomics; 2012 May; 99(5):265-74. PubMed ID: 22497771
[TBL] [Abstract][Full Text] [Related]
2. MPINet: metabolite pathway identification via coupling of global metabolite network structure and metabolomic profile.
Li F; Xu Y; Shang D; Yang H; Liu W; Han J; Sun Z; Yao Q; Zhang C; Ma J; Su F; Feng L; Shi X; Zhang Y; Li J; Gu Q; Li X; Li C
Biomed Res Int; 2014; 2014():325697. PubMed ID: 25057481
[TBL] [Abstract][Full Text] [Related]
3. Integrative set enrichment testing for multiple omics platforms.
Poisson LM; Taylor JM; Ghosh D
BMC Bioinformatics; 2011 Nov; 12():459. PubMed ID: 22118224
[TBL] [Abstract][Full Text] [Related]
4. Association between bivariate expression of key oncogenes and metabolic phenotypes of patients with prostate cancer.
Khodayari Moez E; Pyne S; Dinu I
Comput Biol Med; 2018 Dec; 103():55-63. PubMed ID: 30340213
[TBL] [Abstract][Full Text] [Related]
5. Integration of tissue metabolomics, transcriptomics and immunohistochemistry reveals ERG- and gleason score-specific metabolomic alterations in prostate cancer.
Meller S; Meyer HA; Bethan B; Dietrich D; Maldonado SG; Lein M; Montani M; Reszka R; Schatz P; Peter E; Stephan C; Jung K; Kamlage B; Kristiansen G
Oncotarget; 2016 Jan; 7(2):1421-38. PubMed ID: 26623558
[TBL] [Abstract][Full Text] [Related]
6. Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case.
Liu W; Bai X; Liu Y; Wang W; Han J; Wang Q; Xu Y; Zhang C; Zhang S; Li X; Ren Z; Zhang J; Li C
Sci Rep; 2015 Aug; 5():13192. PubMed ID: 26286638
[TBL] [Abstract][Full Text] [Related]
7. Integration of Metabolomics and Transcriptomics Reveals Major Metabolic Pathways and Potential Biomarker Involved in Prostate Cancer.
Ren S; Shao Y; Zhao X; Hong CS; Wang F; Lu X; Li J; Ye G; Yan M; Zhuang Z; Xu C; Xu G; Sun Y
Mol Cell Proteomics; 2016 Jan; 15(1):154-63. PubMed ID: 26545398
[TBL] [Abstract][Full Text] [Related]
8. Metabolomic Profiling of Extracellular Vesicles and Alternative Normalization Methods Reveal Enriched Metabolites and Strategies to Study Prostate Cancer-Related Changes.
Puhka M; Takatalo M; Nordberg ME; Valkonen S; Nandania J; Aatonen M; Yliperttula M; Laitinen S; Velagapudi V; Mirtti T; Kallioniemi O; Rannikko A; Siljander PR; Af Hällström TM
Theranostics; 2017; 7(16):3824-3841. PubMed ID: 29109780
[TBL] [Abstract][Full Text] [Related]
9. MSD-MAP: A Network-Based Systems Biology Platform for Predicting Disease-Metabolite Links.
Wathieu H; Issa NT; Mohandoss M; Byers SW; Dakshanamurthy S
Comb Chem High Throughput Screen; 2017; 20(3):193-207. PubMed ID: 28024464
[TBL] [Abstract][Full Text] [Related]
10. Gene set analysis using sufficient dimension reduction.
Hsueh HM; Tsai CA
BMC Bioinformatics; 2016 Feb; 17():74. PubMed ID: 26852017
[TBL] [Abstract][Full Text] [Related]
11. Metabolomics and transcriptomics profiles reveal the dysregulation of the tricarboxylic acid cycle and related mechanisms in prostate cancer.
Shao Y; Ye G; Ren S; Piao HL; Zhao X; Lu X; Wang F; Ma W; Li J; Yin P; Xia T; Xu C; Yu JJ; Sun Y; Xu G
Int J Cancer; 2018 Jul; 143(2):396-407. PubMed ID: 29441565
[TBL] [Abstract][Full Text] [Related]
12. Multi-omics study of key genes, metabolites, and pathways of periodontitis.
Jun L; Yuanyuan L; Zhiqiang W; Manlin F; Chenrui H; Ouyang Z; Jiatong L; Xi H; Zhihua L
Arch Oral Biol; 2023 Sep; 153():105720. PubMed ID: 37285682
[TBL] [Abstract][Full Text] [Related]
13. 3Omics: a web-based systems biology tool for analysis, integration and visualization of human transcriptomic, proteomic and metabolomic data.
Kuo TC; Tian TF; Tseng YJ
BMC Syst Biol; 2013 Jul; 7():64. PubMed ID: 23875761
[TBL] [Abstract][Full Text] [Related]
14. An Approach for Systems-Level Understanding of Prostate Cancer from High-Throughput Data Integration to Pathway Modeling and Simulation.
Mobashir M; Turunen SP; Izhari MA; Ashankyty IM; Helleday T; Lehti K
Cells; 2022 Dec; 11(24):. PubMed ID: 36552885
[TBL] [Abstract][Full Text] [Related]
15. De-correlating expression in gene-set analysis.
Nam D
Bioinformatics; 2010 Sep; 26(18):i511-6. PubMed ID: 20823315
[TBL] [Abstract][Full Text] [Related]
16. Weighted multiple hypothesis testing procedures.
Kang G; Ye K; Liu N; Allison DB; Gao G
Stat Appl Genet Mol Biol; 2009; 8(1):Article23. PubMed ID: 19409067
[TBL] [Abstract][Full Text] [Related]
17. Tests for differentiation in gene expression using a data-driven order or weights for hypotheses.
Hommel G; Kropf S
Biom J; 2005 Aug; 47(4):554-62. PubMed ID: 16161811
[TBL] [Abstract][Full Text] [Related]
18. Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum.
Penney KL; Tyekucheva S; Rosenthal J; El Fandy H; Carelli R; Borgstein S; Zadra G; Fanelli GN; Stefanizzi L; Giunchi F; Pomerantz M; Peisch S; Coulson H; Lis R; Kibel AS; Fiorentino M; Umeton R; Loda M
Mol Cancer Res; 2021 Mar; 19(3):475-484. PubMed ID: 33168599
[TBL] [Abstract][Full Text] [Related]
19. Discrete nonparametric algorithms for outlier detection with genomic data.
Ghosh D
J Biopharm Stat; 2010 Mar; 20(2):193-208. PubMed ID: 20309754
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
