Publications

Found 9 results
Title Type [ Year(Asc)]
Filters: Keyword is Humans and Author is Fraenkel, Ernest  [Clear All Filters]
2015
Gosline SJC, Oh C, Fraenkel E. SAMNetWeb: identifying condition-specific networks linking signaling and transcription. Bioinformatics. 2015;31(7):1124-6.
2013
Ng CW, Yildirim F, Yap YS, Dalin S, Matthews BJ, Velez PJ, Labadorf A, Housman DE, Fraenkel E. Extensive changes in DNA methylation are associated with expression of mutant huntingtin. Proc Natl Acad Sci U S A. 2013;110(6):2354-9.
Huang S-SC, Clarke DC, Gosline SJC, Labadorf A, Chouinard CR, Gordon W, Lauffenburger DA, Fraenkel E. Linking proteomic and transcriptional data through the interactome and epigenome reveals a map of oncogene-induced signaling. PLoS Comput Biol. 2013;9(2):e1002887.
Tuncbag N, Braunstein A, Pagnani A, Huang S-SC, Chayes J, Borgs C, Zecchina R, Fraenkel E. Simultaneous reconstruction of multiple signaling pathways via the prize-collecting steiner forest problem. J Comput Biol. 2013;20(2):124-36.
Vashishtha M, Ng CW, Yildirim F, Gipson TA, Kratter IH, Bodai L, Song W, Lau A, Labadorf A, Vogel-Ciernia A, Troncosco J, Ross CA, Bates GP, Krainc D, Sadri-Vakili G, Finkbeiner S, Marsh JL, Housman DE, Fraenkel E, Thompson LM. Targeting H3K4 trimethylation in Huntington disease. Proc Natl Acad Sci U S A. 2013;110(32):E3027-36.
2012
Gosline SJC, Spencer SJ, Ursu O, Fraenkel E. SAMNet: a network-based approach to integrate multi-dimensional high throughput datasets. Integr Biol (Camb). 2012;4(11):1415-27.
Tuncbag N, McCallum S, Huang S-SC, Fraenkel E. SteinerNet: a web server for integrating 'omic' data to discover hidden components of response pathways. Nucleic Acids Res. 2012;40(Web Server issue):W505-9.
2011
Carlson SM, Chouinard CR, Labadorf A, Lam CJ, Schmelzle K, Fraenkel E, White FM. Large-scale discovery of ERK2 substrates identifies ERK-mediated transcriptional regulation by ETV3. Sci Signal. 2011;4(196):rs11.
2009
Huang S-SC, Fraenkel E. Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks. Sci Signal. 2009;2(81):ra40.