|
635
|
Hierarchical mixtures of experts and the EM algorithm
– Michael I. Jordan
- 1994
|
|
666
|
Adaptive mixtures of local experts
– R Jacobs, M Jordan, S Nowlan, G Hinton
- 1991
|
|
39
|
H: Information assessment on predicting protein-protein interactions
– N Lin, B Wu, R Jansen, M Gerstein, Zhao
|
|
58
|
Protein network inference from multiple genomic data: A supervised approach
– Y Yamanishi, J Vert, M Kanehisa
|
|
32
|
Random Forest Similarity for Protein-Protein Interaction Prediction
– Y. Qi, J. Klein-seetharaman, Z. Bar-joseph, Yanjun Qi, Ziv Bar-joseph
- 2005
|
|
261
|
P: Comparative assessment of large-scale data sets of protein-protein interactions
– C von Mering, R Krause, B Snel, M Cornell, Oliver SG, S Fields, Bork
|
|
69
|
Kernel methods for predicting protein-protein interactions
– A Ben-Hur, W S Noble
- 2005
|
|
6234
|
Maximum likelihood from incomplete data via the EM algorithm
– A. P. Dempster, N. M. Laird, D. B. Rubin
- 1977
|
|
3145
|
R.: Classification and Regression Trees
– L Breiman, J Friedman, C Stone, Olshen
- 1984
|
|
89
|
Convergence results for the EM Approach to Mixtures of Experts Architectures
– Michael I. Jordan, Lei Xu
- 1995
|
|
945
|
J: General Linear Models
– P McCullagh, Nelder
- 1989
|
|
3910
|
Neural Networks for Pattern Recognition
– C M Bishop
- 1995
|
|
110
|
M.: A Bayesian networks approach for predicting proteinprotein interactions from genomic data
– Ronald Jansen, Haiyuan Yu, Dov Greenbaum, Yuval Kluger, Nevan J Krogan, Sambath Chung, Andrew Emili, Michael Snyder, Jack F Greenblatt
- 2003
|
|
14
|
Hierarchical mixtures of experts and the EM algorithm. Neural Comput
– Jordan MI, Jacobs RA
|
|
22
|
F: Predicting co-complexed protein pairs using genomic and proteomic data integration
– L Zhang, S Wong, O King, Roth
|
|
32
|
Prediction of protein-protein interactions using distant conservation of sequence patterns and structure relationships
– J Espadaler, O Romero-Isart, R M Jackson, B Oliva
- 2005
|
|
40
|
Evaluation of different biological data and computational classification methods for use in protein interaction prediction
– Yanjun Qi, Ziv Bar-joseph, Judith Klein-seetharaman
- 2006
|
|
28
|
Varambally S, Mahavisno V, Barrette T, Kalyana-Sundaram S, Ghosh D, Pandey A, Chinnaiyan AM: Probabilistic model of the human protein-protein interaction network. Nat Biotechnol 2005
– Rhodes DR, Tomlins SA
|
|
26
|
Jurisica I: Online Predicted Human Interaction Database
– Brown KR
|
