-
3
-
-
84155183158
-
Gerc: tree based clustering for gene expression data
-
IEEE, New York
-
Ahmed H, Mahanta P, Bhattacharyya DK, Kalita JK (2011) Gerc: tree based clustering for gene expression data. In: 2011 IEEE 11th international conference on Bioinformatics and Bioengineering (BIBE), IEEE, New York, pp 299-302.
-
(2011)
2011 IEEE 11th international conference on Bioinformatics and Bioengineering (BIBE)
, pp. 299-302
-
-
Ahmed, H.1
Mahanta, P.2
Bhattacharyya, D.K.3
Kalita, J.K.4
-
4
-
-
85049153309
-
Module extraction from subspace co-expression networks
-
Ahmed H, Mahanta P, Bhattacharyya DK, Kalita JK (2012) Module extraction from subspace co-expression networks. Netw Model Anal Health Inf Bioinformatics 1(4): 183-195.
-
(2012)
Netw Model Anal Health Inf Bioinformatics
, vol.1
, Issue.4
, pp. 183-195
-
-
Ahmed, H.1
Mahanta, P.2
Bhattacharyya, D.K.3
Kalita, J.K.4
-
6
-
-
0004158427
-
Arcing classifiers
-
Statistics Department, University of California, Berkeley, CA. 94720
-
Breiman L (1996a) Arcing classifiers. Technical Report 486, Statistics Department, University of California, Berkeley, CA. 94720.
-
(1996)
Technical Report 486
-
-
Breiman, L.1
-
7
-
-
0030211964
-
Bagging predictors
-
Breiman L (1996b) Bagging predictors. Mach Learn 24(2): 123-140.
-
(1996)
Mach Learn
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
8
-
-
12344294601
-
BagBoosting for tumor classification with gene expression data
-
Dettling M (2004) BagBoosting for tumor classification with gene expression data. Bioinformatics 20(18): 3583-3593.
-
(2004)
Bioinformatics
, vol.20
, Issue.18
, pp. 3583-3593
-
-
Dettling, M.1
-
9
-
-
0031361611
-
Machine-learning research: four current directions
-
Dietterich T (1997) Machine-learning research: four current directions. AI Magazine 18(4): 97-136.
-
(1997)
AI Magazine
, vol.18
, Issue.4
, pp. 97-136
-
-
Dietterich, T.1
-
10
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization
-
Dietterich TG (2000) An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization. Mach Learn 40: 139-157.
-
(2000)
Mach Learn
, vol.40
, pp. 139-157
-
-
Dietterich, T.G.1
-
11
-
-
0002101112
-
A statistical perspective on knowledge discovery in databases
-
U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth (Eds.), Menlo Park: AAAI Press
-
Elder JF IV, Pregibon D (1996) A statistical perspective on knowledge discovery in databases. In: Fayyad U, Piatetsky-Shapiro G, Smyth P (eds) Advances in knowledge discovery and data mining. AAAI Press, Menlo Park, pp 83-113.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 83-113
-
-
Elder IV, J.F.1
Pregibon, D.2
-
13
-
-
13844276694
-
Cluster analysis for gene expression data: a survey
-
Jiang D, Tang C, Zhang A (2004) Cluster analysis for gene expression data: a survey. IEEE Trans Knowl Data Eng 16(11): 1370-1386.
-
(2004)
IEEE Trans Knowl Data Eng
, vol.16
, Issue.11
, pp. 1370-1386
-
-
Jiang, D.1
Tang, C.2
Zhang, A.3
-
15
-
-
84995885612
-
Positive unlabeled learning for deriving protein interaction networks
-
Kiliç C, Tan M (2012) Positive unlabeled learning for deriving protein interaction networks. Netw Model Anal Health Inf Bioinformatics 1(3): 87-102.
-
(2012)
Netw Model Anal Health Inf Bioinformatics
, vol.1
, Issue.3
, pp. 87-102
-
-
Kiliç, C.1
Tan, M.2
-
16
-
-
0348151971
-
Combining classifiers: soft computing solutions
-
S. K. Pal and A. Pal (Eds.), Singapore: World Scientific Publishing Co
-
Kuncheva LI (2001) Combining classifiers: soft computing solutions. In: Pal SK, Pal A (eds) Pattern recognition: from classical to modern approaches. World Scientific Publishing Co., Singapore, pp 427-452.
-
(2001)
Pattern Recognition: From Classical to Modern Approaches
, pp. 427-452
-
-
Kuncheva, L.I.1
-
18
-
-
10544256600
-
Expression monitoring by hybridization to high-density oligonucleotide arrays
-
Lockhart D, Dong H, Byrne M et al (1996) Expression monitoring by hybridization to high-density oligonucleotide arrays. Nat Biotechnol 14: 1675-1680.
-
(1996)
Nat Biotechnol
, vol.14
, pp. 1675-1680
-
-
Lockhart, D.1
Dong, H.2
Byrne, M.3
-
21
-
-
84945191593
-
Subspace clustering in gene expression data analysis: a survey
-
In: Sharma U, Nath B, Bhattacharyya DK (eds) Narosa Publishing, Delhi, Classification of microarray cancer data using ensemble approach
-
Nagi S, Bhattacharyya DK, Kalita JK (2011b) Subspace clustering in gene expression data analysis: a survey. In: Sharma U, Nath B, Bhattacharyya DK (eds) Machine intelligence: recent advances, Narosa Publishing, Delhi, pp 211-219, March 2011, ISBN 978-81-8487-140-1.
-
(2011)
Machine intelligence: Recent advances
-
-
Nagi, S.1
Bhattacharyya, D.K.2
Kalita, J.K.3
-
22
-
-
77949901722
-
Ensemble learning
-
Polikar R (2008) Ensemble learning. Scholarpedia 4(1): 2776. http://www. scholarpedia. org/article/Ensemble_learning.
-
(2008)
Scholarpedia
, vol.4
, Issue.1
, pp. 2776
-
-
Polikar, R.1
-
24
-
-
0035752668
-
Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data
-
Schadt E, Li C, Ellis B, Wong W (2001) Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data. J Cellular Biochem 84(S37): 120-125.
-
(2001)
J Cellular Biochem
, vol.84
, Issue.S37
, pp. 120-125
-
-
Schadt, E.1
Li, C.2
Ellis, B.3
Wong, W.4
-
25
-
-
0028806048
-
Quantitative monitoring of gene expression patterns with a complementary DNA microarray
-
Schena M, Shalon R, Davis D, Brown P (1995) Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 270: 467-470.
-
(1995)
Science
, vol.270
, pp. 467-470
-
-
Schena, M.1
Shalon, R.2
Davis, D.3
Brown, P.4
-
27
-
-
2942596534
-
Ensemble machine learning on gene expression data for cancer classification
-
Tan AC, Gibert D (2003) Ensemble machine learning on gene expression data for cancer classification. Appl Bioinformatics 2(3): s75-s83.
-
(2003)
Appl Bioinformatics
, vol.2
, Issue.3
-
-
Tan, A.C.1
Gibert, D.2
-
28
-
-
84897692889
-
Threshold-based feature selection techniques for high-dimensional bioinformatics data
-
van Hulse J, Khoshgoftaar TM, Napolitano A, Wald R (2012) Threshold-based feature selection techniques for high-dimensional bioinformatics data. Netw Model Anal Health Inf Bioinformatics 1(1-2): 47-61.
-
(2012)
Netw Model Anal Health Inf Bioinformatics
, vol.1
, Issue.1-2
, pp. 47-61
-
-
van Hulse, J.1
Khoshgoftaar, T.M.2
Napolitano, A.3
Wald, R.4
-
29
-
-
0026692226
-
Stacked generalization
-
Wolpert DH (1992) Stacked generalization. Neural Netw 5: 241-259.
-
(1992)
Neural Netw
, vol.5
, pp. 241-259
-
-
Wolpert, D.H.1
-
30
-
-
0026860706
-
Methods for combining multiple classifiers and their applications to handwriting recognition
-
Xu L, Krzyzak A, Suen CY (1992) Methods for combining multiple classifiers and their applications to handwriting recognition. IEEE Trans Syst Man Cybernetics 22(3): 418-435.
-
(1992)
IEEE Trans Syst Man Cybernetics
, vol.22
, Issue.3
, pp. 418-435
-
-
Xu, L.1
Krzyzak, A.2
Suen, C.Y.3
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