Publications

Found 14 results
Title Type [ Year(Desc)]
Filters: Keyword is Algorithms  [Clear All Filters]
2006
Wolf-Yadlin A, Kumar N, Zhang Y, Hautaniemi S, Zaman M, Kim H-D, Grantcharova V, Lauffenburger DA, White FM. Effects of HER2 overexpression on cell signaling networks governing proliferation and migration. Mol Syst Biol. 2006;2:54.
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.
2010
Lahesmaa-Korpinen A-M, Carlson SM, White FM, Hautaniemi S. Integrated data management and validation platform for phosphorylated tandem mass spectrometry data. Proteomics. 2010;10(19):3515-24.
Prill RJ, Marbach D, Saez-Rodriguez J, Sorger PK, Alexopoulos LG, Xue X, Clarke ND, Altan-Bonnet G, Stolovitzky G. Towards a rigorous assessment of systems biology models: the DREAM3 challenges. PLoS One. 2010;5(2):e9202.
2011
Naegle KM, Welsch RE, Yaffe MB, White FM, Lauffenburger DA. MCAM: multiple clustering analysis methodology for deriving hypotheses and insights from high-throughput proteomic datasets. PLoS Comput Biol. 2011;7(7):e1002119.
Miller MA, Barkal L, Jeng K, Herrlich A, Moss M, Griffith LG, Lauffenburger DA. Proteolytic Activity Matrix Analysis (PrAMA) for simultaneous determination of multiple protease activities. Integr Biol (Camb). 2011;3(4):422-38.
Morris MK, Saez-Rodriguez J, Clarke DC, Sorger PK, Lauffenburger DA. Training signaling pathway maps to biochemical data with constrained fuzzy logic: quantitative analysis of liver cell responses to inflammatory stimuli. PLoS Comput Biol. 2011;7(3):e1001099.
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.
Huang S-SC, Fraenkel E. Swimming upstream: identifying proteomic signals that drive transcriptional changes using the interactome and multiple "-omics" datasets. Methods Cell Biol. 2012;110:57-80.
2013
Toni T, Tidor B. Combined model of intrinsic and extrinsic variability for computational network design with application to synthetic biology. PLoS Comput Biol. 2013;9(3):e1002960.
Pritchard JR, Bruno PM, Hemann MT, Lauffenburger DA. Predicting cancer drug mechanisms of action using molecular network signatures. Mol Biosyst. 2013;9(7):1604-19.
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.
2015
Rameseder J, Krismer K, Dayma Y, Ehrenberger T, Hwang MKyung, Airoldi EM, Floyd SR, Yaffe MB. A Multivariate Computational Method to Analyze High-Content RNAi Screening Data. J Biomol Screen. 2015;20(8):985-97.
Gosline SJC, Oh C, Fraenkel E. SAMNetWeb: identifying condition-specific networks linking signaling and transcription. Bioinformatics. 2015;31(7):1124-6.