Jason Ernst
PhD Student
Machine
Learning Department
School of Computer Science
Carnegie Mellon University
Advisor: Ziv Bar-Joseph
Research Group: Systems Biology Group
Email: jernst@cs.cmu.edu
Office: Wean Hall 3721
Office Phone: 412-268-1549
Publications
J. Ernst, Q.K. Beg, K.A. Kay, G. Balazsi, Z.N. Oltvai, Z.
Bar-Joseph.
A Semi-Supervised Method for Predicting Transcription Factor-Gene
Interactions in Escherichia coli.
PLoS Computational Biology 4(3): e1000044, 2008.
Supporting Website
A. Vazquez, Q.K. Beg, M.A. de Menezes, J. Ernst, Z. Bar-Joseph,
A.-L. Barabási, L.G. Boros, Z.N. Oltvai.
Impact of the solvent capacity constraint on E. coli metabolism.
BMC Systems Biology, 2:7, 2008.
J. Ernst, O. Vainas, C.T. Harbison, I. Simon, and Z.
Bar-Joseph.
Reconstructing dynamic regulatory maps.
Nature-EMBO
Molecular
Systems Biology,
3:74, 2007.
Supporting website
Q.K. Beg, A. Vazquez, J. Ernst, M.A. de Menezes, Z. Bar-Joseph, A.-L.
Barabási, and Z.N. Oltvai.
Intracellular crowding defines the mode and sequence of substrate uptake
by Escherichia coli and constrains its metabolic
activity
Proceedings of the National Academy of Sciences, 104:
pp.12663-12668, 2007.
J. Ernst and Z. Bar-Joseph.
STEM: a tool for the analysis of short time series gene expression
data.
BMC Bioinformatics, 7:191, 2006.
Supporting website
I. Simon, Z. Siegfried, J. Ernst, and Z. Bar-Joseph.
Combined static and dynamic analysis for determining the quality of
time-series expression profiles.
Nature Biotechnology,
23(12)
pp. 1503-1508, 2005.
Supporting
website
J. Ernst, G.J. Nau, and Z. Bar-Joseph.
Clustering
Short Time Series Gene Expression Data.
Bioinformatics (Proceedings of ISMB
2005), 21 Suppl. 1, pp. i159-i168, 2005.
Supporting website
Software
Dynamic Regulatory Events Miner (DREM)
Short Time-series
Expression Miner (STEM)
Press
STEM and DREM:
The Link (page 17)
STEM: BioInform
7/18/2005 (subscription required), CMU Tech Transfer
Annual Report 2005 (page 14)
Nature Biotechnology Paper: Pittsburgh Post-Gazette, Red
Herring, BioITWorld,
Drug Discovery & Development, CMU Press Release