191 related articles for article (PubMed ID: 22257533)
1. Core module biomarker identification with network exploration for breast cancer metastasis.
Yang R; Daigle BJ; Petzold LR; Doyle FJ
BMC Bioinformatics; 2012 Jan; 13():12. PubMed ID: 22257533
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics analysis for the identification of key genes and long non-coding RNAs related to bone metastasis in breast cancer.
Teng X; Yang T; Huang W; Li W; Zhou L; Wang Z; Feng Y; Zhang J; Yin X; Wang P; Li G; Yu H; Chen Z; Fan D
Aging (Albany NY); 2021 Jul; 13(13):17302-17315. PubMed ID: 34226298
[TBL] [Abstract][Full Text] [Related]
3. Immunoglobulin superfamily genes are novel prognostic biomarkers for breast cancer.
Li Y; Guo M; Fu Z; Wang P; Zhang Y; Gao Y; Yue M; Ning S; Li D
Oncotarget; 2017 Jan; 8(2):2444-2456. PubMed ID: 27911271
[TBL] [Abstract][Full Text] [Related]
4. An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data.
Firoozbakht F; Rezaeian I; D'agnillo M; Porter L; Rueda L; Ngom A
J Comput Biol; 2017 Aug; 24(8):756-766. PubMed ID: 28650678
[TBL] [Abstract][Full Text] [Related]
5. Identifying cancer biomarkers by network-constrained support vector machines.
Chen L; Xuan J; Riggins RB; Clarke R; Wang Y
BMC Syst Biol; 2011 Oct; 5():161. PubMed ID: 21992556
[TBL] [Abstract][Full Text] [Related]
6. Network-based approach to identify prognostic biomarkers for estrogen receptor-positive breast cancer treatment with tamoxifen.
Liu R; Guo CX; Zhou HH
Cancer Biol Ther; 2015; 16(2):317-24. PubMed ID: 25756514
[TBL] [Abstract][Full Text] [Related]
7. Identification of breast cancer prognostic modules via differential module selection based on weighted gene Co-expression network analysis.
Guo L; Mao L; Lu W; Yang J
Biosystems; 2021 Jan; 199():104317. PubMed ID: 33279569
[TBL] [Abstract][Full Text] [Related]
8. A network-based, integrative study to identify core biological pathways that drive breast cancer clinical subtypes.
Dutta B; Pusztai L; Qi Y; André F; Lazar V; Bianchini G; Ueno N; Agarwal R; Wang B; Shiang CY; Hortobagyi GN; Mills GB; Symmans WF; Balázsi G
Br J Cancer; 2012 Mar; 106(6):1107-16. PubMed ID: 22343619
[TBL] [Abstract][Full Text] [Related]
9. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes.
Lu X; Li X; Liu P; Qian X; Miao Q; Peng S
Molecules; 2018 Jan; 23(2):. PubMed ID: 29364829
[TBL] [Abstract][Full Text] [Related]
10. Identifying biomarkers for breast cancer by gene regulatory network rewiring.
Wang Y; Liu ZP
BMC Bioinformatics; 2022 Jan; 22(Suppl 12):308. PubMed ID: 35045805
[TBL] [Abstract][Full Text] [Related]
11. Identification of Methylation Markers and Differentially Expressed Genes with Prognostic Value in Breast Cancer.
Wu J; Zhang Y; Li M
J Comput Biol; 2019 Dec; 26(12):1394-1408. PubMed ID: 31290690
[TBL] [Abstract][Full Text] [Related]
12. Co-expression of key gene modules and pathways of human breast cancer cell lines.
Wu Y; Liu F; Luo S; Yin X; He D; Liu J; Yue Z; Song J
Biosci Rep; 2019 Jul; 39(7):. PubMed ID: 31285391
[TBL] [Abstract][Full Text] [Related]
13. Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network.
Khunlertgit N; Yoon BJ
BMC Bioinformatics; 2016 Oct; 17(Suppl 13):351. PubMed ID: 27766944
[TBL] [Abstract][Full Text] [Related]
14. Network-based inference framework for identifying cancer genes from gene expression data.
Yang B; Zhang J; Yin Y; Zhang Y
Biomed Res Int; 2013; 2013():401649. PubMed ID: 24073403
[TBL] [Abstract][Full Text] [Related]
15. Identification of co-expression modules and potential biomarkers of breast cancer by WGCNA.
Jia R; Zhao H; Jia M
Gene; 2020 Aug; 750():144757. PubMed ID: 32387385
[TBL] [Abstract][Full Text] [Related]
16. Identification of hub subnetwork based on topological features of genes in breast cancer.
Zhuang DY; Jiang L; He QQ; Zhou P; Yue T
Int J Mol Med; 2015 Mar; 35(3):664-74. PubMed ID: 25573623
[TBL] [Abstract][Full Text] [Related]
17. Microarray and network-based identification of functional modules and pathways of active tuberculosis.
Bian ZR; Yin J; Sun W; Lin DJ
Microb Pathog; 2017 Apr; 105():68-73. PubMed ID: 28189733
[TBL] [Abstract][Full Text] [Related]
18. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
Yi L; Luo P; Zhang J
J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
[TBL] [Abstract][Full Text] [Related]
19. Identification of key modules and genes associated with breast cancer prognosis using WGCNA and ceRNA network analysis.
Yin X; Wang P; Yang T; Li G; Teng X; Huang W; Yu H
Aging (Albany NY); 2020 Dec; 13(2):2519-2538. PubMed ID: 33318294
[TBL] [Abstract][Full Text] [Related]
20. Analysis of the autophagy gene expression profile of pancreatic cancer based on autophagy-related protein microtubule-associated protein 1A/1B-light chain 3.
Yang YH; Zhang YX; Gui Y; Liu JB; Sun JJ; Fan H
World J Gastroenterol; 2019 May; 25(17):2086-2098. PubMed ID: 31114135
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
