Gerstein Lab Publications

Systematic Datamining and Biological Database Design [mining]

Data mining on the web.
A Smith, M Gerstein (2006) Science 314: 1682; author reply 1682.
Assessing the limits of genomic data integration for predicting protein networks.
LJ Lu, Y Xia, A Paccanaro, H Yu, M Gerstein (2005) Genome Res 15: 945-53.
YeastHub: a semantic web use case for integrating data in the life sciences domain.
KH Cheung, KY Yip, A Smith, R Deknikker, A Masiar, M Gerstein (2005) Bioinformatics 21 Suppl 1: i85-96.
Information assessment on predicting protein-protein interactions.
N Lin, B Wu, R Jansen, M Gerstein, H Zhao (2004) BMC Bioinformatics 5: 154.
Analyzing protein function on a genomic scale: the importance of gold-standard positives and negatives for network prediction.
R Jansen, M Gerstein (2004) Curr Opin Microbiol 7: 535-45.
Genomic analysis of regulatory network dynamics reveals large topological changes.
NM Luscombe, MM Babu, H Yu, M Snyder, SA Teichmann, M Gerstein (2004) Nature 431: 308-12.
Mining the structural genomics pipeline: identification of protein properties that affect high-throughput experimental analysis.
CS Goh, N Lan, SM Douglas, B Wu, N Echols, A Smith, D Milburn, GT Montelione, H Zhao, M Gerstein (2004) J Mol Biol 336: 115-30.
Integrative data mining: the new direction in bioinformatics.
P Bertone, M Gerstein (2001) IEEE Eng Med Biol Mag 20: 33-40.
SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics.
P Bertone, Y Kluger, N Lan, D Zheng, D Christendat, A Yee, AM Edwards, CH Arrowsmith, GT Montelione, M Gerstein (2001) Nucleic Acids Res 29: 2884-98.

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