112 related articles for article (PubMed ID: 24728859)
1. A comprehensive comparison of association estimators for gene network inference algorithms.
Kurt Z; Aydin N; Altay G
Bioinformatics; 2014 Aug; 30(15):2142-9. PubMed ID: 24728859
[TBL] [Abstract][Full Text] [Related]
2. RNA-seq preprocessing and sample size considerations for gene network inference.
Altay G; Zapardiel-Gonzalo J; Peters B
bioRxiv; 2023 Jan; ():. PubMed ID: 36711979
[TBL] [Abstract][Full Text] [Related]
3. k- Strong Inference Algorithm: A Hybrid Information Theory Based Gene Network Inference Algorithm.
Cingiz MÖ
Mol Biotechnol; 2023 Nov; ():. PubMed ID: 37950851
[TBL] [Abstract][Full Text] [Related]
4. Inferring Genome-Wide Interaction Networks.
Altay G; Mendi O
Methods Mol Biol; 2017; 1526():99-117. PubMed ID: 27896738
[TBL] [Abstract][Full Text] [Related]
5. CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks.
Gillani Z; Akash MS; Rahaman MD; Chen M
BMC Bioinformatics; 2014 Nov; 15(1):395. PubMed ID: 25433465
[TBL] [Abstract][Full Text] [Related]
6. A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets.
Liu LZ; Wu FX; Zhang WJ
BMC Syst Biol; 2014; 8 Suppl 3(Suppl 3):S1. PubMed ID: 25350697
[TBL] [Abstract][Full Text] [Related]
7. Inference of gene regulatory networks based on nonlinear ordinary differential equations.
Ma B; Fang M; Jiao X
Bioinformatics; 2020 Dec; 36(19):4885-4893. PubMed ID: 31950997
[TBL] [Abstract][Full Text] [Related]
8. Estimation of the proteomic cancer co-expression sub networks by using association estimators.
Erdoğan C; Kurt Z; Diri B
PLoS One; 2017; 12(11):e0188016. PubMed ID: 29145449
[TBL] [Abstract][Full Text] [Related]
9. The Performance Comparison of Gene Co-expression Networks of Breast and Prostate Cancer using Different Selection Criteria.
Cingiz MÖ; Biricik G; Diri B
Interdiscip Sci; 2021 Sep; 13(3):500-510. PubMed ID: 34003445
[TBL] [Abstract][Full Text] [Related]
10. GeNOSA: inferring and experimentally supporting quantitative gene regulatory networks in prokaryotes.
Chen YH; Yang CD; Tseng CP; Huang HD; Ho SY
Bioinformatics; 2015 Jul; 31(13):2151-8. PubMed ID: 25717191
[TBL] [Abstract][Full Text] [Related]
11. ARACNe-AP: gene network reverse engineering through adaptive partitioning inference of mutual information.
Lachmann A; Giorgi FM; Lopez G; Califano A
Bioinformatics; 2016 Jul; 32(14):2233-5. PubMed ID: 27153652
[TBL] [Abstract][Full Text] [Related]
12. Netter: re-ranking gene network inference predictions using structural network properties.
Ruyssinck J; Demeester P; Dhaene T; Saeys Y
BMC Bioinformatics; 2016 Feb; 17():76. PubMed ID: 26862054
[TBL] [Abstract][Full Text] [Related]
13. bLARS: An Algorithm to Infer Gene Regulatory Networks.
Singh N; Vidyasagar M
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(2):301-14. PubMed ID: 27045829
[TBL] [Abstract][Full Text] [Related]
14. Biological Network Inference from Microarray Data, Current Solutions, and Assessments.
Roy S; Guzzi PH
Methods Mol Biol; 2016; 1375():155-67. PubMed ID: 26507508
[TBL] [Abstract][Full Text] [Related]
15. Experimental noise cutoff boosts inferability of transcriptional networks in large-scale gene-deletion studies.
Blum CF; Heramvand N; Khonsari AS; Kollmann M
Nat Commun; 2018 Jan; 9(1):133. PubMed ID: 29317620
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Large-scale dynamic gene regulatory network inference combining differential equation models with local dynamic Bayesian network analysis.
Li Z; Li P; Krishnan A; Liu J
Bioinformatics; 2011 Oct; 27(19):2686-91. PubMed ID: 21816876
[TBL] [Abstract][Full Text] [Related]
18. Gene interaction networks based on kernel correlation metrics.
Cheng L; Khorasani K; Ding Y; Guo X
Int J Comput Biol Drug Des; 2013; 6(1-2):72-92. PubMed ID: 23428475
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. An approach of gene regulatory network construction using mixed entropy optimizing context-related likelihood mutual information.
Lei J; Cai Z; He X; Zheng W; Liu J
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36342190
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
