Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

John Quackenbush, Ph.D.

Co-Author

This page shows the publications co-authored by John Quackenbush and Kimberly Glass.
Connection Strength

2.644
  1. GRAND: a database of gene regulatory network models across human conditions. Nucleic Acids Res. 2021 Sep 11.
    View in: PubMed
    Score: 0.246
  2. Gene Targeting in Disease Networks. Front Genet. 2021; 12:649942.
    View in: PubMed
    Score: 0.240
  3. Gene Regulatory Network Analysis Identifies Sex-Linked Differences in Colon Cancer Drug Metabolism. Cancer Res. 2018 10 01; 78(19):5538-5547.
    View in: PubMed
    Score: 0.201
  4. Estimating drivers of cell state transitions using gene regulatory network models. BMC Syst Biol. 2017 Dec 13; 11(1):139.
    View in: PubMed
    Score: 0.190
  5. Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data. BMC Bioinformatics. 2017 Oct 03; 18(1):437.
    View in: PubMed
    Score: 0.188
  6. Regulatory network changes between cell lines and their tissues of origin. BMC Genomics. 2017 Sep 12; 18(1):723.
    View in: PubMed
    Score: 0.187
  7. Estimating gene regulatory networks with pandaR. Bioinformatics. 2017 Jul 15; 33(14):2232-2234.
    View in: PubMed
    Score: 0.185
  8. Diet-induced weight loss leads to a switch in gene regulatory network control in the rectal mucosa. Genomics. 2016 10; 108(3-4):126-133.
    View in: PubMed
    Score: 0.173
  9. A network model for angiogenesis in ovarian cancer. BMC Bioinformatics. 2015 Apr 11; 16:115.
    View in: PubMed
    Score: 0.158
  10. Sexually-dimorphic targeting of functionally-related genes in COPD. BMC Syst Biol. 2014 Nov 28; 8:118.
    View in: PubMed
    Score: 0.154
  11. Passing messages between biological networks to refine predicted interactions. PLoS One. 2013; 8(5):e64832.
    View in: PubMed
    Score: 0.139
  12. Gene regulatory network inference as relaxed graph matching. Proc Conf AAAI Artif Intell. 2021 Feb; 35(11):10263-10272.
    View in: PubMed
    Score: 0.060
  13. Sex Differences in Gene Expression and Regulatory Networks across 29 Human Tissues. Cell Rep. 2020 06 23; 31(12):107795.
    View in: PubMed
    Score: 0.057
  14. Molecular networks in Network Medicine: Development and applications. Wiley Interdiscip Rev Syst Biol Med. 2020 11; 12(6):e1489.
    View in: PubMed
    Score: 0.056
  15. Human Lung DNA Methylation Quantitative Trait Loci Colocalize with Chronic Obstructive Pulmonary Disease Genome-Wide Association Loci. Am J Respir Crit Care Med. 2018 05 15; 197(10):1275-1284.
    View in: PubMed
    Score: 0.049
  16. Ensemble genomic analysis in human lung tissue identifies novel genes for chronic obstructive pulmonary disease. Hum Genomics. 2018 01 15; 12(1):1.
    View in: PubMed
    Score: 0.048
  17. Understanding Tissue-Specific Gene Regulation. Cell Rep. 2017 Oct 24; 21(4):1077-1088.
    View in: PubMed
    Score: 0.047
  18. Exploring regulation in tissues with eQTL networks. Proc Natl Acad Sci U S A. 2017 09 12; 114(37):E7841-E7850.
    View in: PubMed
    Score: 0.047
  19. Differential connectivity of gene regulatory networks distinguishes corticosteroid response in asthma. J Allergy Clin Immunol. 2018 04; 141(4):1250-1258.
    View in: PubMed
    Score: 0.046
  20. Biomarker correlation network in colorectal carcinoma by tumor anatomic location. BMC Bioinformatics. 2017 Jun 17; 18(1):304.
    View in: PubMed
    Score: 0.046
  21. Functional interactors of three genome-wide association study genes are differentially expressed in severe chronic obstructive pulmonary disease lung tissue. Sci Rep. 2017 03 13; 7:44232.
    View in: PubMed
    Score: 0.045
  22. DNA methylation profiling in human lung tissue identifies genes associated with COPD. Epigenetics. 2016 Oct 02; 11(10):730-739.
    View in: PubMed
    Score: 0.044
  23. Haploinsufficiency of Hedgehog interacting protein causes increased emphysema induced by cigarette smoke through network rewiring. Genome Med. 2015; 7(1):12.
    View in: PubMed
    Score: 0.039
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.