-
1
-
-
78049415626
-
An integrative multi-network and multi-classifier approach to predict genetic interactions
-
Pandey, G., Zhang, B., Chang, A.N., Myers, C.L., Zhu, J., Kumar, V., Schadt, E.E.: An integrative multi-network and multi-classifier approach to predict genetic interactions. PLoS Comput. Biol. 6(9), e1000928+ (2010)
-
(2010)
PLoS Comput. Biol.
, vol.6
, Issue.9
-
-
Pandey, G.1
Zhang, B.2
Chang, A.N.3
Myers, C.L.4
Zhu, J.5
Kumar, V.6
Schadt, E.E.7
-
3
-
-
33646018046
-
Evaluation of different biological data and computational classification methods for use in protein interaction prediction
-
Qi, Y., Bar-Joseph, Z., Klein-Seetharaman, J.: Evaluation of different biological data and computational classification methods for use in protein interaction prediction. Proteins 63(3), 490-500 (2006)
-
(2006)
Proteins
, vol.63
, Issue.3
, pp. 490-500
-
-
Qi, Y.1
Bar-Joseph, Z.2
Klein-Seetharaman, J.3
-
4
-
-
38549173606
-
The BioGRID Interaction Database: 2008 Update
-
Breitkreutz, B.J., Stark, C., Reguly, T., Boucher, L., Breitkreutz, A., Livstone, M., Oughtred, R., Lackner, D.H., Bähler, J., Wood, V., Dolinski, K., Tyers, M.: The BioGRID Interaction Database: 2008 update. Nucleic Acids Research 36(suppl. 1), D637-D640 (2008)
-
(2008)
Nucleic Acids Research
, vol.36
, Issue.SUPPL. 1
-
-
Breitkreutz, B.J.1
Stark, C.2
Reguly, T.3
Boucher, L.4
Breitkreutz, A.5
Livstone, M.6
Oughtred, R.7
Lackner, D.H.8
Bähler, J.9
Wood, V.10
Dolinski, K.11
Tyers, M.12
-
5
-
-
0142052944
-
A bayesian networks approach for predicting protein-protein interactions from genomic data
-
Jansen, R., Yu, H., Greenbaum, D., Kluger, Y., Krogan, N.J., Chung, S., Emili, A., Snyder, M., Greenblatt, J.F., Gerstein, M.: A bayesian networks approach for predicting protein-protein interactions from genomic data. Science 302(5644), 449-453 (2003)
-
(2003)
Science
, vol.302
, Issue.5644
, pp. 449-453
-
-
Jansen, R.1
Yu, H.2
Greenbaum, D.3
Kluger, Y.4
Krogan, N.J.5
Chung, S.6
Emili, A.7
Snyder, M.8
Greenblatt, J.F.9
Gerstein, M.10
-
6
-
-
13444306165
-
The landscape of genetic complexity across 5,700 gene expression traits in yeast
-
Brem, R.B., Kruglyak, L.: The landscape of genetic complexity across 5,700 gene expression traits in yeast. Proceedings of the National Academy of Sciences of the United States of America 102(5), 1572-1577 (2005)
-
(2005)
Proceedings of the National Academy of Sciences of the United States of America
, vol.102
, Issue.5
, pp. 1572-1577
-
-
Brem, R.B.1
Kruglyak, L.2
-
7
-
-
0034616930
-
Functional discovery via a compendium of expression profiles
-
Hughes, T.R., Marton, M.J., Jones, A.R., Roberts, C.J., Stoughton, R., Armour, C.D., Bennett, H.A., Coffey, E., Dai, H., He, Y.D., Kidd, M.J., King, A.M., Meyer, M.R., Slade, D., Lum, P.Y., Stepaniants, S.B., Shoemaker, D.D., Gachotte, D., Chakraburtty, K., Simon, J., Bard, M., Friend, S.H.: Functional discovery via a compendium of expression profiles. Cell 102(1), 109-126 (2000)
-
(2000)
Cell
, vol.102
, Issue.1
, pp. 109-126
-
-
Hughes, T.R.1
Marton, M.J.2
Jones, A.R.3
Roberts, C.J.4
Stoughton, R.5
Armour, C.D.6
Bennett, H.A.7
Coffey, E.8
Dai, H.9
He, Y.D.10
Kidd, M.J.11
King, A.M.12
Meyer, M.R.13
Slade, D.14
Lum, P.Y.15
Stepaniants, S.B.16
Shoemaker, D.D.17
Gachotte, D.18
Chakraburtty, K.19
Simon, J.20
Bard, M.21
Friend, S.H.22
more..
-
8
-
-
67650070937
-
Functional annotations for the Saccharomyces cerevisiae genome: The knowns and the known unknowns
-
Christie, K.R., Hong, E.L., Cherry, J.M.: Functional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns. Trends in Microbiology 17(7), 286-294 (2009)
-
(2009)
Trends in Microbiology
, vol.17
, Issue.7
, pp. 286-294
-
-
Christie, K.R.1
Hong, E.L.2
Cherry, J.M.3
-
9
-
-
33748513704
-
Finding function: Evaluation methods for functional genomic data
-
Myers, C., Barrett, D., Hibbs, M., Huttenhower, C., Troyanskaya, O.: Finding function: evaluation methods for functional genomic data. BMC Genomics 7(1), 187+ (2006)
-
(2006)
BMC Genomics
, vol.7
, Issue.1
, pp. 187
-
-
Myers, C.1
Barrett, D.2
Hibbs, M.3
Huttenhower, C.4
Troyanskaya, O.5
-
10
-
-
0242666971
-
Data preparation for data mining
-
Zhang, S., Zhang, C., Yang, Q.: Data preparation for data mining. Applied Artificial Intelligence 17(5-6), 375-381 (2003)
-
(2003)
Applied Artificial Intelligence
, vol.17
, Issue.5-6
, pp. 375-381
-
-
Zhang, S.1
Zhang, C.2
Yang, Q.3
-
12
-
-
2942731012
-
An extensive empirical study of feature selection metrics for text classification
-
Forman, G.: An extensive empirical study of feature selection metrics for text classification. The Journal of Machine Learning Research 3, 1289-1305 (2003)
-
(2003)
The Journal of Machine Learning Research
, vol.3
, pp. 1289-1305
-
-
Forman, G.1
-
13
-
-
33749249600
-
The relationship between Precision-Recall and ROC curves
-
ACM, New York
-
Davis, J., Goadrich, M.: The relationship between Precision-Recall and ROC curves. In: Proceedings of the 23rd International Conference on Machine Learning, ICML 2006, pp. 233-240. ACM, New York (2006)
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning, ICML 2006
, pp. 233-240
-
-
Davis, J.1
Goadrich, M.2
-
14
-
-
0034592774
-
Explicitly representing expected cost: An alternative to ROC representation
-
Drummond, C., Holte, R.C.: Explicitly representing expected cost: an alternative to ROC representation. In: Knowledge Discovery and Data Mining, pp. 198-207 (2000)
-
(2000)
Knowledge Discovery and Data Mining
, pp. 198-207
-
-
Drummond, C.1
Holte, R.C.2
-
15
-
-
34147120594
-
Precision-recall operating characteristic (P-ROC) curves in imprecise environments
-
IEEE
-
Landgrebe, T.C.W., Paclik, P., Duin, R.P.W., Bradley, A.P.: Precision-recall operating characteristic (P-ROC) curves in imprecise environments. In: 18th International Conference on Pattern Recognition, ICPR 2006, vol. 4, pp. 123-127. IEEE (2006)
-
(2006)
18th International Conference on Pattern Recognition, ICPR 2006
, vol.4
, pp. 123-127
-
-
Landgrebe, T.C.W.1
Paclik, P.2
Duin, R.P.W.3
Bradley, A.P.4
-
16
-
-
84856621489
-
Hellinger distance decision trees are robust and skew-insensitive
-
Cieslak, D.A., Hoens, T.R., Chawla, N.V., Kegelmeyer, W.P.: Hellinger distance decision trees are robust and skew-insensitive. In: Data Mining and Knowledge Discovery, pp. 1-23 (2012)
-
(2012)
Data Mining and Knowledge Discovery
, pp. 1-23
-
-
Cieslak, D.A.1
Hoens, T.R.2
Chawla, N.V.3
Kegelmeyer, W.P.4
-
17
-
-
76749092270
-
The WEKA data mining software: An update
-
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.: The WEKA data mining software: an update. Special Interest Group on Knowledge Discovery and Data Mining Explorer Newsletter 11(1), 10-18 (2009)
-
(2009)
Special Interest Group on Knowledge Discovery and Data Mining Explorer Newsletter
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.6
|