Gerstein Lab Publications

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A comprehensive nuclear receptor network for breast cancer cells.
R Kittler, J Zhou, S Hua, L Ma, Y Liu, E Pendleton, C Cheng, M Gerstein, KP White (2013). Cell Rep 3: 538-51.
 
 
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Genomics: ENCODE leads the way on big data.
M Gerstein (2012). Nature 489: 208.
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Architecture of the human regulatory network derived from ENCODE data.
MB Gerstein, A Kundaje, M Hariharan, SG Landt, KK Yan, C Cheng, XJ Mu, E Khurana, J Rozowsky, R Alexander, R Min, P Alves, A Abyzov, N Addleman, N Bhardwaj, AP Boyle, P Cayting, A Charos, DZ Chen, Y Cheng, D Clarke, C Eastman, G Euskirchen, S Frietze, Y Fu, J Gertz, F Grubert, A Harmanci, P Jain, M Kasowski, P Lacroute, JJ Leng, J Lian, H Monahan, H O'Geen, Z Ouyang, EC Partridge, D Patacsil, F Pauli, D Raha, L Ramirez, TE Reddy, B Reed, M Shi, T Slifer, J Wang, L Wu, X Yang, KY Yip, G Zilberman-Schapira, S Batzoglou, A Sidow, PJ Farnham, RM Myers, SM Weissman, M Snyder (2012). Nature 489: 91-100.
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Novel insights through the integration of structural and functional genomics data with protein networks.
D Clarke, N Bhardwaj, MB Gerstein (2012). J Struct Biol 179: 320-6.
 
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Measuring the evolutionary rewiring of biological networks.
C Shou, N Bhardwaj, HY Lam, KK Yan, PM Kim, M Snyder, MB Gerstein (2011). PLoS Comput Biol 7: e1001050.
 
 
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Comparing genomes to computer operating systems in terms of the topology and evolution of their regulatory control networks.
KK Yan, G Fang, N Bhardwaj, RP Alexander, M Gerstein (2010). Proc Natl Acad Sci U S A 107: 9186-91.
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Analysis of membrane proteins in metagenomics: networks of correlated environmental features and protein families.
PV Patel, TA Gianoulis, RD Bjornson, KY Yip, DM Engelman, MB Gerstein (2010). Genome Res 20: 960-71.
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Network modeling identifies molecular functions targeted by miR-204 to suppress head and neck tumor metastasis.
Y Lee, X Yang, Y Huang, H Fan, Q Zhang, Y Wu, J Li, R Hasina, C Cheng, MW Lingen, MB Gerstein, RR Weichselbaum, HR Xing, YA Lussier (2010). PLoS Comput Biol 6: e1000730.
 
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Analysis of diverse regulatory networks in a hierarchical context shows consistent tendencies for collaboration in the middle levels.
N Bhardwaj, KK Yan, MB Gerstein (2010). Proc Natl Acad Sci U S A 107: 6841-6.
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Improved reconstruction of in silico gene regulatory networks by integrating knockout and perturbation data.
KY Yip, RP Alexander, KK Yan, M Gerstein (2010). PLoS One 5: e8121.
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Training set expansion: an approach to improving the reconstruction of biological networks from limited and uneven reliable interactions.
KY Yip, M Gerstein (2009). Bioinformatics 25: 243-50.
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Total ancestry measure: quantifying the similarity in tree-like classification, with genomic applications.
H Yu, R Jansen, G Stolovitzky, M Gerstein (2007). Bioinformatics 23: 2163-73.
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Relating three-dimensional structures to protein networks provides evolutionary insights.
PM Kim, LJ Lu, Y Xia, MB Gerstein (2006). Science 314: 1938-41.
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Design principles of molecular networks revealed by global comparisons and composite motifs.
H Yu, Y Xia, V Trifonov, M Gerstein (2006). Genome Biol 7: R55.
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Inferring Protein-Protein Interactions Using Interaction Network Topologies
A Paccanaro, V Trifonov, H Yu, M Gerstein (2005). International Joint Conference on Neural Networks (IJCNN, Jul. 31-Aug. 4, Montreal, Canada), pages 161 - 166, vol. 1
 
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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.
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