-
3
-
-
33646421421
-
Evaluation of classifiers for an uneven class distribution problem
-
Daskalaki S, Kopanas I, Avouris N. Evaluation of classifiers for an uneven class distribution problem. Appl Artif Intell 2006, 20(5):381-417.
-
(2006)
Appl Artif Intell
, vol.20
, Issue.5
, pp. 381-417
-
-
Daskalaki, S.1
Kopanas, I.2
Avouris, N.3
-
4
-
-
0037226593
-
A molecular signature of metastasis in primary solid tumors
-
10.1038/ng1060, 12469122
-
Ramaswamy S, Ross KN, Lander ES, Golub TR. A molecular signature of metastasis in primary solid tumors. Nat Genet 2003, 33:49-54. 10.1038/ng1060, 12469122.
-
(2003)
Nat Genet
, vol.33
, pp. 49-54
-
-
Ramaswamy, S.1
Ross, K.N.2
Lander, E.S.3
Golub, T.R.4
-
5
-
-
18244409933
-
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
-
10.1038/nm0102-68, 11786909
-
Shipp MA, Ross KN, Tamayo P, Weng AP, Kutok JL, Aguiar RC, Gaasenbeek M, Angelo M, Reich M, Pinkus GS, Ray TS, Koval MA, Last KW, Norton A, Lister TA, Mesirov J, Neuberg DS, Lander ES, Aster JC. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nat Med 2002, 8:68. 10.1038/nm0102-68, 11786909.
-
(2002)
Nat Med
, vol.8
, pp. 68
-
-
Shipp, M.A.1
Ross, K.N.2
Tamayo, P.3
Weng, A.P.4
Kutok, J.L.5
Aguiar, R.C.6
Gaasenbeek, M.7
Angelo, M.8
Reich, M.9
Pinkus, G.S.10
Ray, T.S.11
Koval, M.A.12
Last, K.W.13
Norton, A.14
Lister, T.A.15
Mesirov, J.16
Neuberg, D.S.17
Lander, E.S.18
Aster, J.C.19
-
6
-
-
0037443891
-
Oligonucleotide microarray for prediction of early intrahepatic recurrence of hepatocellular carcinoma after curative resection
-
10.1016/S0140-6736(03)12775-4, 12648972
-
Iizuka N, Oka M, Yamada-Okabe H, Nishida M, Maeda Y, Mori N, Takao T, Tamesa T, Tangoku A, Tabuchi H, Hamada K, Nakayama H, Ishitsuka H, Miyamoto T, Hirabayashi A, Uchimura S, Hamamoto Y. Oligonucleotide microarray for prediction of early intrahepatic recurrence of hepatocellular carcinoma after curative resection. Lancet 2003, 361(9361):923-929. 10.1016/S0140-6736(03)12775-4, 12648972.
-
(2003)
Lancet
, vol.361
, Issue.9361
, pp. 923-929
-
-
Iizuka, N.1
Oka, M.2
Yamada-Okabe, H.3
Nishida, M.4
Maeda, Y.5
Mori, N.6
Takao, T.7
Tamesa, T.8
Tangoku, A.9
Tabuchi, H.10
Hamada, K.11
Nakayama, H.12
Ishitsuka, H.13
Miyamoto, T.14
Hirabayashi, A.15
Uchimura, S.16
Hamamoto, Y.17
-
7
-
-
77957988489
-
Class prediction for high-dimensional class-imbalanced data
-
10.1186/1471-2105-11-523, 3098087, 20961420
-
Blagus R, Lusa L. Class prediction for high-dimensional class-imbalanced data. BMC Bioinformatics 2010, 11:523+. 10.1186/1471-2105-11-523, 3098087, 20961420.
-
(2010)
BMC Bioinformatics
, vol.11
-
-
Blagus, R.1
Lusa, L.2
-
9
-
-
0346586663
-
SMOTE: synthetic minority over-sampling technique
-
Chawla NV, Bowyer KW, Hall LO, Kegelmeyer WP. SMOTE: synthetic minority over-sampling technique. J Artif Intell Res 2002, 16:341-378.
-
(2002)
J Artif Intell Res
, vol.16
, pp. 341-378
-
-
Chawla, N.V.1
Bowyer, K.W.2
Hall, L.O.3
Kegelmeyer, W.P.4
-
10
-
-
33751105239
-
Combating imbalance in network intrusion datasets
-
Atlanta, Georgia, USA
-
Cieslak DA, Chawla NW, Striegel A. Combating imbalance in network intrusion datasets. Proc IEEE Int Conf Granular Comput 2006, 732-737. Atlanta, Georgia, USA.
-
(2006)
Proc IEEE Int Conf Granular Comput
, pp. 732-737
-
-
Cieslak, D.A.1
Chawla, N.W.2
Striegel, A.3
-
11
-
-
33746529930
-
A study in machine learning from imbalanced data for sentence boundary detection in speech
-
Liu Y, Chawla NV, Harper MP, Shriberg E, Stolcke A. A study in machine learning from imbalanced data for sentence boundary detection in speech. Comput Speech Lang 2006, 20(4):468-494.
-
(2006)
Comput Speech Lang
, vol.20
, Issue.4
, pp. 468-494
-
-
Liu, Y.1
Chawla, N.V.2
Harper, M.P.3
Shriberg, E.4
Stolcke, A.5
-
13
-
-
84877663058
-
An Expert System for Detection of Breast Cancer Using Data Preprocessing and Bayesian Network
-
Fallahi A, Jafari S. An Expert System for Detection of Breast Cancer Using Data Preprocessing and Bayesian Network. Int J Adv Sci Technol 2011, 34:65-70.
-
(2011)
Int J Adv Sci Technol
, vol.34
, pp. 65-70
-
-
Fallahi, A.1
Jafari, S.2
-
14
-
-
64549116289
-
MicroPred: effective classification of pre-miRNAs for human miRNA gene prediction
-
10.1093/bioinformatics/btp107, 19233894
-
Batuwita R, Palade V. microPred: effective classification of pre-miRNAs for human miRNA gene prediction. Bioinformatics 2009, 25(8):989-995. 10.1093/bioinformatics/btp107, 19233894.
-
(2009)
Bioinformatics
, vol.25
, Issue.8
, pp. 989-995
-
-
Batuwita, R.1
Palade, V.2
-
15
-
-
79955948344
-
Identification of microRNA precursors based on random forest with network-level representation method of stem-loop structure
-
10.1186/1471-2105-12-165, 3118167, 21575268
-
Xiao J, Tang X, Li Y, Fang Z, Ma D, He Y, Li M. Identification of microRNA precursors based on random forest with network-level representation method of stem-loop structure. BMC Bioinformatics 2011, 12:165+. 10.1186/1471-2105-12-165, 3118167, 21575268.
-
(2011)
BMC Bioinformatics
, vol.12
-
-
Xiao, J.1
Tang, X.2
Li, Y.3
Fang, Z.4
Ma, D.5
He, Y.6
Li, M.7
-
16
-
-
32544434809
-
A hypothesis-based approach for identifying the binding specificity of regulatory proteins from chromatin immunoprecipitation data
-
10.1093/bioinformatics/bti815, 16332710
-
MacIsaac KD, Gordon DB, Nekludova L, Odom DT, Schreiber J, Gifford DK, Young RA, Fraenkel E. A hypothesis-based approach for identifying the binding specificity of regulatory proteins from chromatin immunoprecipitation data. Bioinformatics 2006, 22(4):423-429. 10.1093/bioinformatics/bti815, 16332710.
-
(2006)
Bioinformatics
, vol.22
, Issue.4
, pp. 423-429
-
-
MacIsaac, K.D.1
Gordon, D.B.2
Nekludova, L.3
Odom, D.T.4
Schreiber, J.5
Gifford, D.K.6
Young, R.A.7
Fraenkel, E.8
-
17
-
-
64549137426
-
Classification of imbalanced data by using the SMOTE algorithm and locally linear embedding.
-
Guilin, China
-
Wang J, Xu M, Wang H, Zhang J. Classification of imbalanced data by using the SMOTE algorithm and locally linear embedding. International Conference on Signal Processing 2006, Guilin, China.
-
(2006)
International Conference on Signal Processing
-
-
Wang, J.1
Xu, M.2
Wang, H.3
Zhang, J.4
-
18
-
-
80055018052
-
An active learning based classification strategy for the minority class problem application to histopathology annotation
-
10.1186/1471-2105-12-424, 3284114, 22034914
-
Doyle S, Monaco J, Feldman M, Tomaszewski J, Madabhushi A. An active learning based classification strategy for the minority class problem application to histopathology annotation. BMC Bioinformatics 2011, 12:424+. 10.1186/1471-2105-12-424, 3284114, 22034914.
-
(2011)
BMC Bioinformatics
, vol.12
-
-
Doyle, S.1
Monaco, J.2
Feldman, M.3
Tomaszewski, J.4
Madabhushi, A.5
-
19
-
-
84857180411
-
Class imbalance, Redux
-
Vancouver, Canada
-
Wallace B, Small K, Brodley C, Trikalinos T. Class imbalance, Redux. Data Mining (ICDM), 2011 IEEE 11th International Conference on 2011, 754-763. Vancouver, Canada.
-
(2011)
Data Mining (ICDM), 2011 IEEE 11th International Conference on
, pp. 754-763
-
-
Wallace, B.1
Small, K.2
Brodley, C.3
Trikalinos, T.4
-
20
-
-
63449090301
-
Learning on the border: Active learning in imbalanced data classification
-
Lisbon, Portugal
-
Ertekin SE, Huang J, Bottou L, Giles CL. Learning on the border: Active learning in imbalanced data classification. Proceedings of ACM Conference on Information and Knowledge Management 2007, 127-136. Lisbon, Portugal.
-
(2007)
Proceedings of ACM Conference on Information and Knowledge Management
, pp. 127-136
-
-
Ertekin, S.E.1
Huang, J.2
Bottou, L.3
Giles, C.L.4
-
21
-
-
4744344959
-
Classification and knowledge discovery in protein databases
-
10.1016/j.jbi.2004.07.008, 15465476
-
Radivojac P, Chawla NV, Dunker AK, Obradovic Z. Classification and knowledge discovery in protein databases. J Biomed Inform 2004, 37(4):224-239. 10.1016/j.jbi.2004.07.008, 15465476.
-
(2004)
J Biomed Inform
, vol.37
, Issue.4
, pp. 224-239
-
-
Radivojac, P.1
Chawla, N.V.2
Dunker, A.K.3
Obradovic, Z.4
-
23
-
-
67650694660
-
Safe-Level-SMOTE:Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem
-
Berlin / Heidelberg: Springer
-
Bunkhumpornpat C, Sinapiromsaran K, Lursinsap C. Safe-Level-SMOTE:Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem. Advances in Knowledge Discovery and Data Mining, Volume 5476 2009, 475-482. Berlin / Heidelberg: Springer.
-
(2009)
Advances in Knowledge Discovery and Data Mining, Volume 5476
, pp. 475-482
-
-
Bunkhumpornpat, C.1
Sinapiromsaran, K.2
Lursinsap, C.3
-
26
-
-
22944478488
-
Discriminatory analysis. Nonparametric discrimination: consistency properties
-
Fix E, Hodges JJL. Discriminatory analysis. Nonparametric discrimination: consistency properties. Int Stat Rev 1989, 57(3):238-247.
-
(1989)
Int Stat Rev
, vol.57
, Issue.3
, pp. 238-247
-
-
Fix, E.1
Hodges, J.J.L.2
-
28
-
-
2942608807
-
-
New York: Springer
-
Simon RM, Korn EL, McShane LM, Radmacher MD, Wright GW, Zhao Y. Design and Analysis of DNA Microarray Investigations 2004, New York: Springer.
-
(2004)
Design and Analysis of DNA Microarray Investigations
-
-
Simon, R.M.1
Korn, E.L.2
McShane, L.M.3
Radmacher, M.D.4
Wright, G.W.5
Zhao, Y.6
-
29
-
-
0035478854
-
Random forests
-
Breiman L. Random forests. Mach Learn 2001, 45:5-32.
-
(2001)
Mach Learn
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
30
-
-
34249753618
-
Support-vector networks
-
Cortes C, Vapnik V. Support-vector networks. Mach Learn 1995, 20(3):273-297.
-
(1995)
Mach Learn
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
31
-
-
0037076272
-
Diagnosis of multiple cancer types by shrunken centroids of gene expression
-
10.1073/pnas.082099299, 124443, 12011421
-
Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc Natl Acad Sci USA 2002, 99(10):6567-6572. 10.1073/pnas.082099299, 124443, 12011421.
-
(2002)
Proc Natl Acad Sci USA
, vol.99
, Issue.10
, pp. 6567-6572
-
-
Tibshirani, R.1
Hastie, T.2
Narasimhan, B.3
Chu, G.4
-
32
-
-
15944363312
-
Classification of gene microarrays by penalized logistic regression
-
10.1093/biostatistics/kxg046, 15208204
-
Zhu J, Hastie T. Classification of gene microarrays by penalized logistic regression. Biostatistics 2004, 5(3):427-443. 10.1093/biostatistics/kxg046, 15208204.
-
(2004)
Biostatistics
, vol.5
, Issue.3
, pp. 427-443
-
-
Zhu, J.1
Hastie, T.2
-
33
-
-
84947205653
-
When is " nearest neighbor" meaningful?
-
Jerusalem, Israel
-
Beyer K, Goldstein J, Ramakrishnan R, Shaft U. When is " nearest neighbor" meaningful?. Int. Conf. on Database Theory 1999, 217-235. Jerusalem, Israel.
-
(1999)
Int. Conf. on Database Theory
, pp. 217-235
-
-
Beyer, K.1
Goldstein, J.2
Ramakrishnan, R.3
Shaft, U.4
-
35
-
-
27344432474
-
C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
-
Ottawa, Canada
-
Drummond C, Holte RC. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling. Workshop on Learning from Imbalanced Datasets II, ICML 2003, Ottawa, Canada.
-
(2003)
Workshop on Learning from Imbalanced Datasets II, ICML
-
-
Drummond, C.1
Holte, R.C.2
-
36
-
-
0042838307
-
Breast cancer classification and prognosis based on gene expression profiles from a population-based study
-
10.1073/pnas.1732912100, 193572, 12917485
-
Sotiriou C, Neo SY, McShane LM, Korn EL, Long PM, Jazaeri A, Martiat P, Fox SB, Harris AL, Liu ET. Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc Natl Acad Sci USA 2003, 100(18):10393-10398. 10.1073/pnas.1732912100, 193572, 12917485.
-
(2003)
Proc Natl Acad Sci USA
, vol.100
, Issue.18
, pp. 10393-10398
-
-
Sotiriou, C.1
Neo, S.Y.2
McShane, L.M.3
Korn, E.L.4
Long, P.M.5
Jazaeri, A.6
Martiat, P.7
Fox, S.B.8
Harris, A.L.9
Liu, E.T.10
-
37
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
Dudoit S, Fridlyand J, Speed TP. Comparison of discrimination methods for the classification of tumors using gene expression data. J Am Stat Assoc 2002, 97(457):77-87.
-
(2002)
J Am Stat Assoc
, vol.97
, Issue.457
, pp. 77-87
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, T.P.3
-
38
-
-
33845413755
-
Regularized linear discriminant analysis and its application in microarrays
-
10.1093/biostatistics/kxj035, 16603682
-
Guo Y, Hastie T, Tibshirani R. Regularized linear discriminant analysis and its application in microarrays. Biostatistics 2007, 8:86-100. 10.1093/biostatistics/kxj035, 16603682.
-
(2007)
Biostatistics
, vol.8
, pp. 86-100
-
-
Guo, Y.1
Hastie, T.2
Tibshirani, R.3
-
39
-
-
33646023117
-
An introduction to ROC analysis
-
Fawcett T. An introduction to ROC analysis. Pattern Recognit Lett 2006, 27(8):861-874.
-
(2006)
Pattern Recognit Lett
, vol.27
, Issue.8
, pp. 861-874
-
-
Fawcett, T.1
-
40
-
-
2942534096
-
Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes
-
10.1073/pnas.0401736101, 420411, 15152076
-
Pittman J, Huang E, Dressman H, Horng C, Cheng S, Tsou M, Chen C, Bild A, Iversen E, Huang A, Nevins J, West M. Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes. Proc Natl Acad Sci USA 2004, 101(22):8431-8436. 10.1073/pnas.0401736101, 420411, 15152076.
-
(2004)
Proc Natl Acad Sci USA
, vol.101
, Issue.22
, pp. 8431-8436
-
-
Pittman, J.1
Huang, E.2
Dressman, H.3
Horng, C.4
Cheng, S.5
Tsou, M.6
Chen, C.7
Bild, A.8
Iversen, E.9
Huang, A.10
Nevins, J.11
West, M.12
-
41
-
-
26444546442
-
An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival
-
10.1073/pnas.0506230102, 1197273, 16141321
-
Miller LD, Smeds J, George J, Vega VB, Vergara L, Ploner A, Pawitan Y, Hall P, Klaar S. An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. Proc Natl Acad Sci USA 2005, 102(38):13550-13555. 10.1073/pnas.0506230102, 1197273, 16141321.
-
(2005)
Proc Natl Acad Sci USA
, vol.102
, Issue.38
, pp. 13550-13555
-
-
Miller, L.D.1
Smeds, J.2
George, J.3
Vega, V.B.4
Vergara, L.5
Ploner, A.6
Pawitan, Y.7
Hall, P.8
Klaar, S.9
-
42
-
-
5344244656
-
-
Vienna: R Foundation for Statistical Computing, R Development Core Team
-
R Development Core Team R: A Language and Environment for Statistical Computing 2008, Vienna: R Foundation for Statistical Computing, R Development Core Team.
-
(2008)
R: A Language and Environment for Statistical Computing
-
-
|