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ORCIDDouglas A. Lauffenburger
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2020 – today
- 2024
[j20]Douglas A. Lauffenburger, Heinz Koeppl:
New biological solutions to the many problems of our time. Autom. 72(7): 585-588 (2024)
2010 – 2019
- 2019
- [j19]Douglas K. Brubaker
, Elizabeth A. Proctor, Kevin M. Haigis, Douglas A. Lauffenburger:
Computational translation of genomic responses from experimental model systems to humans. PLoS Comput. Biol. 15(1) (2019) - 2018
- [j18]Wen-Han Yu, Peng Zhao, Monia Draghi, Claudia Arevalo, Christina B. Karsten, Todd J. Suscovich, Bronwyn Gunn, Hendrik Streeck, Abraham L. Brass, Michael Tiemeyer, Michael S. Seaman, John R. Mascola, Lance Wells, Douglas A. Lauffenburger, Galit Alter:
Exploiting glycan topography for computational design of Env glycoprotein antigenicity. PLoS Comput. Biol. 14(4) (2018) - 2013
- [j17]Shao-Shan Carol Huang, David C. Clarke, Sara J. C. Gosline, Adam Labadorf, Candace R. Chouinard, William Gordon, Douglas A. Lauffenburger, Ernest Fraenkel:
Linking Proteomic and Transcriptional Data through the Interactome and Epigenome Reveals a Map of Oncogene-induced Signaling. PLoS Comput. Biol. 9(2) (2013) - [c4]Ioannis N. Melas, Douglas A. Lauffenburger, Leonidas G. Alexopoulos:
Identification of signaling pathways related to drug efficacy in hepatocellular carcinoma via integration of phosphoproteomic, genomic and clinical data. BIBE 2013: 1-4 - 2012
- [j16]Daniel C. Kirouac, Julio Saez-Rodriguez, Jennifer Swantek, John M. Burke, Douglas A. Lauffenburger, Peter K. Sorger:
Creating and analyzing pathway and protein interaction compendia for modelling signal transduction networks. BMC Syst. Biol. 6: 29 (2012) - [j15]Camille Terfve, Thomas Cokelaer, David Henriques, Aidan MacNamara, Emanuel J. V. Gonçalves, Melody K. Morris, Martijn P. van Iersel, Douglas A. Lauffenburger, Julio Saez-Rodriguez:
CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms. BMC Syst. Biol. 6: 133 (2012) - [j14]Miles Miller, Marc Hafner, Eduardo D. Sontag, Noah Davidsohn, Sairam Subramanian, Priscilla E. M. Purnick, Douglas A. Lauffenburger, Ron Weiss:
Modular Design of Artificial Tissue Homeostasis: Robust Control through Synthetic Cellular Heterogeneity. PLoS Comput. Biol. 8(7) (2012) - 2011
- [j13]Neda Bagheri, Marisa Shiina, Douglas A. Lauffenburger, W. Michael Korn:
A Dynamical Systems Model for Combinatorial Cancer Therapy Enhances Oncolytic Adenovirus Efficacy by MEK-Inhibition. PLoS Comput. Biol. 7(2) (2011) - [j12]Melody K. Morris, Julio Saez-Rodriguez, David C. Clarke, Peter K. Sorger, Douglas A. Lauffenburger:
Training Signaling Pathway Maps to Biochemical Data with Constrained Fuzzy Logic: Quantitative Analysis of Liver Cell Responses to Inflammatory Stimuli. PLoS Comput. Biol. 7(3) (2011) - [j11]Kristen M. Naegle, Roy E. Welsch, Michael B. Yaffe, Forest M. White, Douglas A. Lauffenburger:
MCAM: Multiple Clustering Analysis Methodology for Deriving Hypotheses and Insights from High-Throughput Proteomic Datasets. PLoS Comput. Biol. 7(7) (2011)
2000 – 2009
- 2009
- [j10]Dominik M. Wittmann, Jan Krumsiek, Julio Saez-Rodriguez, Douglas A. Lauffenburger, Steffen Klamt, Fabian J. Theis:
Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling. BMC Syst. Biol. 3: 98 (2009) - [j9]Karen Sachs, Solomon Itani, Jennifer Carlisle, Garry P. Nolan, Dana Pe'er, Douglas A. Lauffenburger:
Learning Signaling Network Structures with Sparsely Distributed Data. J. Comput. Biol. 16(2): 201-212 (2009) - [j8]Bree B. Aldridge, Julio Saez-Rodriguez, Jeremy Muhlich, Peter K. Sorger, Douglas A. Lauffenburger:
Fuzzy Logic Analysis of Kinase Pathway Crosstalk in TNF/EGF/Insulin-Induced Signaling. PLoS Comput. Biol. 5(4) (2009) - 2008
- [j7]Julio Saez-Rodriguez, Arthur Goldsipe, Jeremy Muhlich, Leonidas G. Alexopoulos, Bjorn Millard, Douglas A. Lauffenburger, Peter K. Sorger:
Flexible informatics for linking experimental data to mathematical models via DataRail. Bioinform. 24(6): 840-847 (2008) - [c3]Leonidas G. Alexopoulos, Douglas A. Lauffenburger, Peter K. Sorger:
Modeling pro-death signaling pathways in cancer hepatocytes using multi-combinatorial treatments of inhibitors and stimuli. BIBE 2008: 1-5 - 2007
- [j6]Sourabh Kharait, Sampsa Hautaniemi, Shan Wu, Akihiro Iwabu, Douglas A. Lauffenburger, Alan Wells:
Decision tree modeling predicts effects of inhibiting contractility signaling on cell motility. BMC Syst. Biol. 1: 9 (2007) - [j5]Neil Kumar, Alejandro Wolf-Yadlin, Forest M. White, Douglas A. Lauffenburger:
Modeling HER2 Effects on Cell Behavior from Mass Spectrometry Phosphotyrosine Data. PLoS Comput. Biol. 3(1) (2007) - 2005
- [j4]Peter J. Woolf, Wendy Prudhomme, Laurence Daheron, George Q. Daley, Douglas A. Lauffenburger:
Bayesian analysis of signaling networks governing embryonic stem cell fate decisions. Bioinform. 21(6): 741-753 (2005) - [j3]Sampsa Hautaniemi, Sourabh Kharait, Akihiro Iwabu, Alan Wells, Douglas A. Lauffenburger:
Modeling of signal-response cascades using decision tree analysis. Bioinform. 21(9): 2027-2035 (2005) - 2004
- [j2]Kevin A. Janes, Jason R. Kelly, Suzanne Gaudet, John G. Albeck, Peter K. Sorger, Douglas A. Lauffenburger:
Cue-Signal-Response Analysis of TNF-Induced Apoptosis by Partial Least Squares Regression of Dynamic Multivariate Data. J. Comput. Biol. 11(4): 544-561 (2004) - [c2]Karen Sachs, Omar D. Perez, Dana Pe'er, Garry P. Nolan, David K. Gifford, Tommi S. Jaakkola, Douglas A. Lauffenburger:
Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network Modeling of Single Cell Data. CSB 2004: 644 - 2003
- [c1]Maya R. Said, Alan V. Oppenheim, Douglas A. Lauffenburger:
Modeling cellular signal processing using interacting Markov chains. ICASSP (6) 2003: 41-44
1990 – 1999
- 1994
- [j1]Kimberly E. Forsten, Douglas A. Lauffenburger:
Probability of Autocrine Ligand Capture by Cell-Surface Receptors: Implications for Ligand Secretion Measurements. J. Comput. Biol. 1(1): 15-23 (1994)
Coauthor Index
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