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ORCIDLisa Tucker-Kellogg
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2020 – today
- 2022
[c12]Huey-Eng Chua, Lisa Tucker-Kellogg, Sourav S. Bhowmick:
ArcheGEO: towards improving relevance of gene expression omnibus search results. BCB 2022: 4:1-4:10- 2021
- [j11]N. Suhas Jagannathan
, Christopher W. V. Hogue, Lisa Tucker-Kellogg:
Computational modeling suggests binding-induced expansion of Epsin disordered regions upon association with AP2. PLoS Comput. Biol. 17(1) (2021) - 2020
- [j10]N. Suhas Jagannathan, Mario O. Ihsan, Xiao Xuan Kin, Roy E. Welsch, Marie-Véronique Clément, Lisa Tucker-Kellogg:
Transcompp: understanding phenotypic plasticity by estimating Markov transition rates for cell state transitions. Bioinform. 36(9): 2813-2820 (2020) - [c11]N. Suhas Jagannathan, Christopher W. V. Hogue, Lisa Tucker-Kellogg:
De novo Ensemble Modeling Suggests that AP2-Binding to Disordered Regions Can Increase StericVolume of Epsin but Not Eps15. PSB 2020: 183-194
2010 – 2019
- 2017
- [j9]Huipeng Li, Lakshmi Venkatraman, Balakrishnan Chakrapani Narmada, Jacob K. White, Hanry Yu, Lisa Tucker-Kellogg:
Computational analysis reveals the coupling between bistability and the sign of a feedback loop in a TGF-β1 activation model. BMC Syst. Biol. 11(S-7): 91-99 (2017) - [c10]Huey-Eng Chua, Sourav S. Bhowmick, Lisa Tucker-Kellogg:
TINTIN: Exploiting Target Features for Signaling Network Similarity Computation and Ranking. BCB 2017: 340-345 - 2016
- [j8]Binh P. Nguyen, Hans Heemskerk, Peter T. C. So, Lisa Tucker-Kellogg:
Superpixel-based segmentation of muscle fibers in multi-channel microscopy. BMC Syst. Biol. 10(S-5): 39-50 (2016) - [c9]Huey-Eng Chua, Sourav S. Bhowmick, Jie Zheng, Lisa Tucker-Kellogg:
TAPESTRY: Network-centric Target Prioritization in Disease-related Signaling Networks. BCB 2016: 108-117 - [c8]Huey-Eng Chua, Sourav S. Bhowmick, Lisa Tucker-Kellogg, C. Forbes Dewey Jr.:
TENET: A Machine Learning-Based System for Target Characterization in Signaling Networks. ICDM Workshops 2016: 1288-1291 - 2015
- [j7]Huey-Eng Chua, Sourav S. Bhowmick, Lisa Tucker-Kellogg, C. Forbes Dewey Jr.:
TENET: topological feature-based target characterization in signalling networks. Bioinform. 31(20): 3306-3314 (2015) - [j6]Tri Hieu Nim, Le Luo, Jacob K. White, Marie-Véronique Clément, Lisa Tucker-Kellogg:
Non-canonical Activation of Akt in Serum-Stimulated Fibroblasts, Revealed by Comparative Modeling of Pathway Dynamics. PLoS Comput. Biol. 11(11) (2015) - 2014
- [j5]Junjie Wang, Lisa Tucker-Kellogg, Inn Chuan Ng, Ruirui Jia, P. S. Thiagarajan, Jacob K. White, Hanry Yu:
The Self-Limiting Dynamics of TGF-β Signaling In Silico and In Vitro, with Negative Feedback through PPM1A Upregulation. PLoS Comput. Biol. 10(6) (2014) - [c7]Huey-Eng Chua, Sourav S. Bhowmick, Lisa Tucker-Kellogg:
One feature doesn't fit all: characterizing topological features of targets in signaling networks. BCB 2014: 426-435 - 2013
- [j4]Yuan Shi, Gregory Mellier, Sinong Huang, Jacob K. White, Shazib Pervaiz, Lisa Tucker-Kellogg:
Computational modelling of LY303511 and TRAIL-induced apoptosis suggests dynamic regulation of cFLIP. Bioinform. 29(3): 347-354 (2013) - [j3]Tri Hieu Nim, Le Luo, Marie-Véronique Clément, Jacob K. White, Lisa Tucker-Kellogg:
Systematic parameter estimation in data-rich environments for cell signalling dynamics. Bioinform. 29(8): 1044-1051 (2013) - [j2]Tri Hieu Nim, Jacob K. White, Lisa Tucker-Kellogg:
SPEDRE: a web server for estimating rate parameters for cell signaling dynamics in data-rich environments. Nucleic Acids Res. 41(Webserver-Issue): 187-191 (2013) - 2012
- [c6]Huey-Eng Chua, Sourav S. Bhowmick, Lisa Tucker-Kellogg, C. Forbes Dewey Jr.:
STEROID: in silico heuristic target combination identification for disease-related signaling networks. BCB 2012: 4-11 - [c5]Huey-Eng Chua, Sourav S. Bhowmick, Lisa Tucker-Kellogg, Qing Zhao, C. Forbes Dewey Jr., Hanry Yu:
In silico identification of endo16 regulators in the sea urchin endomesoderm gene regulatory network. IHI 2012: 131-140 - [c4]Huey-Eng Chua, Sourav S. Bhowmick, Lisa Tucker-Kellogg, Yingqi Wang, C. Forbes Dewey Jr., Hanry Yu:
PANI: an interactive data-driven tool for target prioritization in signaling networks. IHI 2012: 851-854 - 2011
- [c3]Huey-Eng Chua, Qing Zhao, Sourav S. Bhowmick, C. Forbes Dewey Jr., Lisa Tucker-Kellogg, Hanry Yu:
Pani: a novel algorithm for fast discovery of putative target nodes in signaling networks. BCB 2011: 284-288 - 2010
- [c2]Lakshmi Venkatraman, Hanry Yu, Sourav S. Bhowmick, C. Forbes Dewey Jr., Lisa Tucker-Kellogg:
The Steady States and Dynamics of Urokinase-mediated Plasmin Activation. Pacific Symposium on Biocomputing 2010: 190-199
2000 – 2009
- 2008
- [j1]Anshul Nigham, Lisa Tucker-Kellogg, Ivana Mihalek, Chandra Verma, David Hsu:
pFlexAna: detecting conformational changes in remotely related proteins. Nucleic Acids Res. 36(Web-Server-Issue): 246-251 (2008) - 2007
- [c1]Geoffrey Koh, Lisa Tucker-Kellogg, David Hsu, P. S. Thiagarajan:
Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation. WABI 2007: 420-430 - 2002
- [b1]Lisa Tucker-Kellogg:
Systematic conformational search with constraint satisfaction. Massachusetts Institute of Technology, Cambridge, MA, USA, 2002
Coauthor Index
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