214 related articles for article (PubMed ID: 26026612)
1. DECODE: an integrated differential co-expression and differential expression analysis of gene expression data.
Lui TW; Tsui NB; Chan LW; Wong CS; Siu PM; Yung BY
BMC Bioinformatics; 2015 May; 16():182. PubMed ID: 26026612
[TBL] [Abstract][Full Text] [Related]
2. Screening for the optimal gene and functional gene sets related to breast cancer using differential co-expression and differential expression analysis.
Wang L; Ma H; Zhu L; Ma L; Cao L; Wei H; Xu J
Cancer Biomark; 2016; 17(4):463-471. PubMed ID: 27802197
[TBL] [Abstract][Full Text] [Related]
3. BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-Expression Analysis.
Wang D; Wang J; Jiang Y; Liang Y; Xu D
J Mol Biol; 2017 Feb; 429(3):446-453. PubMed ID: 27984044
[TBL] [Abstract][Full Text] [Related]
4. Differential correlation for sequencing data.
Siska C; Kechris K
BMC Res Notes; 2017 Jan; 10(1):54. PubMed ID: 28103954
[TBL] [Abstract][Full Text] [Related]
5. Identifying the optimal gene and gene set in hepatocellular carcinoma based on differential expression and differential co-expression algorithm.
Dong LY; Zhou WZ; Ni JW; Xiang W; Hu WH; Yu C; Li HY
Oncol Rep; 2017 Feb; 37(2):1066-1074. PubMed ID: 28035405
[TBL] [Abstract][Full Text] [Related]
6. EntropyExplorer: an R package for computing and comparing differential Shannon entropy, differential coefficient of variation and differential expression.
Wang K; Phillips CA; Saxton AM; Langston MA
BMC Res Notes; 2015 Dec; 8():832. PubMed ID: 26714840
[TBL] [Abstract][Full Text] [Related]
7. BMRF-MI: integrative identification of protein interaction network by modeling the gene dependency.
Shi X; Wang X; Shajahan A; Hilakivi-Clarke L; Clarke R; Xuan J
BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S10. PubMed ID: 26099273
[TBL] [Abstract][Full Text] [Related]
8. Differential regulation enrichment analysis via the integration of transcriptional regulatory network and gene expression data.
Ma S; Jiang T; Jiang R
Bioinformatics; 2015 Feb; 31(4):563-71. PubMed ID: 25322838
[TBL] [Abstract][Full Text] [Related]
9. Identifying differentially expressed genes in cancer patients using a non-parameter Ising model.
Li X; Feltus FA; Sun X; Wang JZ; Luo F
Proteomics; 2011 Oct; 11(19):3845-52. PubMed ID: 21761563
[TBL] [Abstract][Full Text] [Related]
10. Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.
Suo C; Hrydziuszko O; Lee D; Pramana S; Saputra D; Joshi H; Calza S; Pawitan Y
Bioinformatics; 2015 Aug; 31(16):2607-13. PubMed ID: 25810432
[TBL] [Abstract][Full Text] [Related]
11. PCIT: an R package for weighted gene co-expression networks based on partial correlation and information theory approaches.
Watson-Haigh NS; Kadarmideen HN; Reverter A
Bioinformatics; 2010 Feb; 26(3):411-3. PubMed ID: 20007253
[TBL] [Abstract][Full Text] [Related]
12. mAPKL: R/ Bioconductor package for detecting gene exemplars and revealing their characteristics.
Sakellariou A; Spyrou G
BMC Bioinformatics; 2015 Sep; 16(1):291. PubMed ID: 26374744
[TBL] [Abstract][Full Text] [Related]
13. Network topology measures for identifying disease-gene association in breast cancer.
Ramadan E; Alinsaif S; Hassan MR
BMC Bioinformatics; 2016 Jul; 17 Suppl 7(Suppl 7):274. PubMed ID: 27454166
[TBL] [Abstract][Full Text] [Related]
14. Comparative analysis of protein interactome networks prioritizes candidate genes with cancer signatures.
Li Y; Sahni N; Yi S
Oncotarget; 2016 Nov; 7(48):78841-78849. PubMed ID: 27791983
[TBL] [Abstract][Full Text] [Related]
15. Analysis of cis-Regulatory Elements in Gene Co-expression Networks in Cancer.
Triska M; Ivliev A; Nikolsky Y; Tatarinova TV
Methods Mol Biol; 2017; 1613():291-310. PubMed ID: 28849565
[TBL] [Abstract][Full Text] [Related]
16. COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
Ma H; Schadt EE; Kaplan LM; Zhao H
Bioinformatics; 2011 May; 27(9):1290-8. PubMed ID: 21414987
[TBL] [Abstract][Full Text] [Related]
17. penalizedSVM: a R-package for feature selection SVM classification.
Becker N; Werft W; Toedt G; Lichter P; Benner A
Bioinformatics; 2009 Jul; 25(13):1711-2. PubMed ID: 19398451
[TBL] [Abstract][Full Text] [Related]
18. High throughput screening of co-expressed gene pairs with controlled false discovery rate (FDR) and minimum acceptable strength (MAS).
Zhu D; Hero AO; Qin ZS; Swaroop A
J Comput Biol; 2005 Sep; 12(7):1029-45. PubMed ID: 16201920
[TBL] [Abstract][Full Text] [Related]
19. Dissection of regulatory networks that are altered in disease via differential co-expression.
Amar D; Safer H; Shamir R
PLoS Comput Biol; 2013; 9(3):e1002955. PubMed ID: 23505361
[TBL] [Abstract][Full Text] [Related]
20. NetDecoder: a network biology platform that decodes context-specific biological networks and gene activities.
da Rocha EL; Ung CY; McGehee CD; Correia C; Li H
Nucleic Acids Res; 2016 Jun; 44(10):e100. PubMed ID: 26975659
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
