Estimating gene regulatory networks with pandaR

Bioinformatics

Volumn 33, Issue 14, 2017, Pages 2232-2234

  Schlauch, Daniel ^a,b   Paulson, Joseph N ^a,b   Young, Albert ^a,b   Glass, Kimberly ^c   Quackenbush, John ^a,b  

^a DANA FARBER CANCER INSTITUTE   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTOME;

BIOLOGICAL MODEL; BIOLOGY; GENE REGULATORY NETWORK; HUMAN; PROCEDURES; PROTEIN PROTEIN INTERACTION; SOFTWARE;

COMPUTATIONAL BIOLOGY; GENE REGULATORY NETWORKS; HUMANS; MODELS, BIOLOGICAL; PROTEIN INTERACTION MAPS; SOFTWARE; TRANSCRIPTOME;

EID: 85024504630     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btx139     Document Type: Conference Paper

References (7)

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2. Glass, K. et al. (2014) Sexually-dimorphic targeting of functionally-related genes in COPD. BMC Syst. Biol., 8, 118.
3. Glass, K. et al. (2015) A network model for angiogenesis in ovarian cancer. BMC Bioinformatics, 16, 115.
4. Kuijjer, M.L. et al. (2015) Estimating Sample-specific Regulatory Networks. arXiv Preprint arXiv:1505.06440.
5. Lao, T. et al. (2015) Haploinsufficiency of hedgehog interacting protein causes increased emphysema induced by cigarette smoke through network rewiring. Genome Med., 7, 12.
6. Vargas, A.J. et al. (2016) Diet-induced weight loss leads to a switch in gene regulatory network control in the rectal mucosa. Genomics, 16, 126-133.
7. Youn, A. et al. (2010) Learning transcriptional networks from the integration of ChIP-chip and expression data in a non-parametric model. Bioinformatics, 26, 1879-1886.