-
1
-
-
34147217542
-
Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map
-
Collins S.R., et al. Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map. Nature 2007, 446:806-810.
-
(2007)
Nature
, vol.446
, pp. 806-810
-
-
Collins, S.R.1
-
2
-
-
26844489762
-
Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile
-
Schuldiner M., et al. Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile. Cell 2005, 123:507-519.
-
(2005)
Cell
, vol.123
, pp. 507-519
-
-
Schuldiner, M.1
-
3
-
-
10744230485
-
Global mapping of the yeast genetic interaction network
-
Tong A.H., et al. Global mapping of the yeast genetic interaction network. Science 2004, 303:808-813.
-
(2004)
Science
, vol.303
, pp. 808-813
-
-
Tong, A.H.1
-
4
-
-
61349119934
-
Functional organization of the S. cerevisiae phosphorylation network
-
Fiedler D., et al. Functional organization of the S. cerevisiae phosphorylation network. Cell 2009, 136:952-963.
-
(2009)
Cell
, vol.136
, pp. 952-963
-
-
Fiedler, D.1
-
5
-
-
43849094303
-
Missing value imputation improves clustering and interpretation of gene expression microarray data
-
Johannes T., Laura E., Olli N., Tero A. Missing value imputation improves clustering and interpretation of gene expression microarray data. BMC Bioinform. 2008, 9:202.
-
(2008)
BMC Bioinform.
, vol.9
, pp. 202
-
-
Johannes, T.1
Laura, E.2
Olli, N.3
Tero, A.4
-
6
-
-
77957130052
-
Missing data imputation using statistical and machine learning methods in a real breast cancer problem
-
Jerez J.M., et al. Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artif. Intell. Med. 2010, 50:105-115.
-
(2010)
Artif. Intell. Med.
, vol.50
, pp. 105-115
-
-
Jerez, J.M.1
-
7
-
-
3543135904
-
Experimental analysis of methods for imputation of missing values in databases
-
Farhangfar A., Kurgan L., Pedrycz W. Experimental analysis of methods for imputation of missing values in databases. Intell. Comput. Theory Appl. 2004, II(5421):172-182.
-
(2004)
Intell. Comput. Theory Appl.
, vol.2
, Issue.5421
, pp. 172-182
-
-
Farhangfar, A.1
Kurgan, L.2
Pedrycz, W.3
-
8
-
-
0034960264
-
Missing value estimation methods for DNA microarrays
-
Troyanskaya O., et al. Missing value estimation methods for DNA microarrays. Bioinformatics 2001, 17:520-525.
-
(2001)
Bioinformatics
, vol.17
, pp. 520-525
-
-
Troyanskaya, O.1
-
9
-
-
13444304426
-
Missing value estimation for DNA microarray gene expression data: local least squares imputation
-
Kim H., Golub G., Park H. Missing value estimation for DNA microarray gene expression data: local least squares imputation. Bioinformatics 2005, 21:187-198.
-
(2005)
Bioinformatics
, vol.21
, pp. 187-198
-
-
Kim, H.1
Golub, G.2
Park, H.3
-
10
-
-
2342646842
-
LSimpute: accurate estimation of missing values in microarray data with least squares methods
-
Bo T., Dysvik B., Jonassen I. LSimpute: accurate estimation of missing values in microarray data with least squares methods. Nucleic Acids Res. 2004, 32:e34.
-
(2004)
Nucleic Acids Res.
, vol.32
-
-
Bo, T.1
Dysvik, B.2
Jonassen, I.3
-
11
-
-
0242643743
-
A Bayesian missing value estimation method for gene expression profile data
-
Oba S., et al. A Bayesian missing value estimation method for gene expression profile data. Bioinformatics 2003, 19:2088-2096.
-
(2003)
Bioinformatics
, vol.19
, pp. 2088-2096
-
-
Oba, S.1
-
12
-
-
33646671261
-
A simultaneous reconstruction of missing data in DNA microarrays
-
Friedland S., Niknejad A., Chihara L. A simultaneous reconstruction of missing data in DNA microarrays. Linear Algebra Appl. 2006, 416:8-28.
-
(2006)
Linear Algebra Appl.
, vol.416
, pp. 8-28
-
-
Friedland, S.1
Niknejad, A.2
Chihara, L.3
-
13
-
-
85027978916
-
Predicting gene expression from combined expression and promoter profile similarity with application to missing value imputation
-
Elo L., Johannes T., Nevalainen O., Aittokallio T. Predicting gene expression from combined expression and promoter profile similarity with application to missing value imputation. Math. Model. Biol. Syst. 2007, I:97-104.
-
(2007)
Math. Model. Biol. Syst.
, vol.1
, pp. 97-104
-
-
Elo, L.1
Johannes, T.2
Nevalainen, O.3
Aittokallio, T.4
-
14
-
-
33644856110
-
Improving missing value estimation in microarray data with gene ontology
-
Tuikkala J., Elo L., Nevalainen O., Aittokallio T. Improving missing value estimation in microarray data with gene ontology. Bioinformatics 2006, 22:566-572.
-
(2006)
Bioinformatics
, vol.22
, pp. 566-572
-
-
Tuikkala, J.1
Elo, L.2
Nevalainen, O.3
Aittokallio, T.4
-
15
-
-
77950949307
-
Dealing with missing values in large-scale studies: microarray data imputation and beyond
-
Aittokallio T. Dealing with missing values in large-scale studies: microarray data imputation and beyond. Brief. Bioinform. 2010, 11:253-264.
-
(2010)
Brief. Bioinform.
, vol.11
, pp. 253-264
-
-
Aittokallio, T.1
-
16
-
-
39749093807
-
Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes
-
Brock G.N., Shaffer J.R., Blakesley R.E., Lotz M.J., Tseng G.C. Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes. BMC Bioinform. 2008, 9:12.
-
(2008)
BMC Bioinform.
, vol.9
, pp. 12
-
-
Brock, G.N.1
Shaffer, J.R.2
Blakesley, R.E.3
Lotz, M.J.4
Tseng, G.C.5
-
17
-
-
39149108478
-
Identifications of conserved 7-mers in 3′-UTRs and microRNAs in Drosophila
-
Gu J., Fu H., Zhang X., Li Y. Identifications of conserved 7-mers in 3′-UTRs and microRNAs in Drosophila. BMC Bioinform. 2007, 8:432.
-
(2007)
BMC Bioinform.
, vol.8
, pp. 432
-
-
Gu, J.1
Fu, H.2
Zhang, X.3
Li, Y.4
-
18
-
-
33646871614
-
An ensemble of K-local hyperplanes for predicting protein-protein interactions
-
Nanni L., Lumini A. An ensemble of K-local hyperplanes for predicting protein-protein interactions. Bioinformatics 2006, 22:1207-1210.
-
(2006)
Bioinformatics
, vol.22
, pp. 1207-1210
-
-
Nanni, L.1
Lumini, A.2
-
19
-
-
34548667906
-
RegionBoost learning for 2D+3D based face recognition
-
Nanni L., Lumini A. RegionBoost learning for 2D+3D based face recognition. Pattern Recogit. Lett. 2007, 28:2063-2070.
-
(2007)
Pattern Recogit. Lett.
, vol.28
, pp. 2063-2070
-
-
Nanni, L.1
Lumini, A.2
-
20
-
-
39549116279
-
A genetic approach for building different alphabets for peptide and protein classification
-
Nanni L., Lumini A. A genetic approach for building different alphabets for peptide and protein classification. BMC Bioinform. 2008, 9:45.
-
(2008)
BMC Bioinform.
, vol.9
, pp. 45
-
-
Nanni, L.1
Lumini, A.2
-
22
-
-
77950925125
-
Missing value imputation for epistatic MAPs
-
Ryan C., Greene D., Cagney G., Cunningham P. Missing value imputation for epistatic MAPs. BMC Bioinform. 2010, 11:197.
-
(2010)
BMC Bioinform.
, vol.11
, pp. 197
-
-
Ryan, C.1
Greene, D.2
Cagney, G.3
Cunningham, P.4
-
23
-
-
0035284320
-
Analysis of incomplete climate data: estimation of mean values and covariance matrices and imputation of missing values
-
Schneider T. Analysis of incomplete climate data: estimation of mean values and covariance matrices and imputation of missing values. J. Climate 2001, 14:853-871.
-
(2001)
J. Climate
, vol.14
, pp. 853-871
-
-
Schneider, T.1
-
24
-
-
37049035583
-
Random subspace for an improved BioHashing for face authentication
-
Nanni L., Lumini A. Random subspace for an improved BioHashing for face authentication. Pattern Recogit. Lett. 2008, 29:295-300.
-
(2008)
Pattern Recogit. Lett.
, vol.29
, pp. 295-300
-
-
Nanni, L.1
Lumini, A.2
-
25
-
-
32544454675
-
Experimental comparison of one-class classifiers for online signature verification
-
Nanni L. Experimental comparison of one-class classifiers for online signature verification. Neurocomputing 2006, 69:869-873.
-
(2006)
Neurocomputing
, vol.69
, pp. 869-873
-
-
Nanni, L.1
-
26
-
-
0032139235
-
The random subspace method for constructing decision forests
-
Ho T.K. The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. 1998, 20:832-844.
-
(1998)
IEEE Trans. Pattern Anal.
, vol.20
, pp. 832-844
-
-
Ho, T.K.1
-
27
-
-
40549108335
-
Evolved feature weighting for random subspace classifier
-
Nanni L., Lumini A. Evolved feature weighting for random subspace classifier. IEEE Trans. Neural Netw. 2008, 19:363-366.
-
(2008)
IEEE Trans. Neural Netw.
, vol.19
, pp. 363-366
-
-
Nanni, L.1
Lumini, A.2
-
28
-
-
78049341530
-
Learn(++).MF: A random subspace approach for the missing feature problem
-
Polikar R., DePasquale J., Mohammed H.S., Brown G., Kuncheva L.I. Learn(++).MF: A random subspace approach for the missing feature problem. Pattern Recognit. 2010, 43:3817-3832.
-
(2010)
Pattern Recognit.
, vol.43
, pp. 3817-3832
-
-
Polikar, R.1
DePasquale, J.2
Mohammed, H.S.3
Brown, G.4
Kuncheva, L.I.5
-
29
-
-
53749095489
-
Local coherence in genetic interaction patterns reveals prevalent functional versatility
-
Pu S., Ronen K., Vlasblom J., Greenblatt J., Wodak S.J. Local coherence in genetic interaction patterns reveals prevalent functional versatility. Bioinformatics 2008, 24:2376-2383.
-
(2008)
Bioinformatics
, vol.24
, pp. 2376-2383
-
-
Pu, S.1
Ronen, K.2
Vlasblom, J.3
Greenblatt, J.4
Wodak, S.J.5
-
30
-
-
56849094282
-
A genetic interaction map of RNA-processing factors reveals links between Sem1/Dss1-containing complexes and mRNA export and splicing
-
Wilmes G., et al. A genetic interaction map of RNA-processing factors reveals links between Sem1/Dss1-containing complexes and mRNA export and splicing. Mol. Cell 2008, 32:735-746.
-
(2008)
Mol. Cell
, vol.32
, pp. 735-746
-
-
Wilmes, G.1
-
31
-
-
54249107599
-
Conservation and rewiring of functional modules revealed by an epistasis map in fission yeast
-
Roguev A., et al. Conservation and rewiring of functional modules revealed by an epistasis map in fission yeast. Science 2008, 322:405-410.
-
(2008)
Science
, vol.322
, pp. 405-410
-
-
Roguev, A.1
-
32
-
-
71049116435
-
Exact matrix completion via convex optimization
-
Candes E., Recht B. Exact matrix completion via convex optimization. Found. Comput. Math. 2009, 9:717-772.
-
(2009)
Found. Comput. Math.
, vol.9
, pp. 717-772
-
-
Candes, E.1
Recht, B.2
-
33
-
-
77951528523
-
The power of convex relaxation: near-optimal matrix completion
-
Candes E., Tao T. The power of convex relaxation: near-optimal matrix completion. IEEE T. Inform. Theory. 2009, 56:2053-2080.
-
(2009)
IEEE T. Inform. Theory.
, vol.56
, pp. 2053-2080
-
-
Candes, E.1
Tao, T.2
-
34
-
-
0142215333
-
Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices
-
Fazel M., Hindi H., Boyd S.P. Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices. Proc. Amer. Contr. Conf. 2003, 2156-2162.
-
(2003)
Proc. Amer. Contr. Conf.
, pp. 2156-2162
-
-
Fazel, M.1
Hindi, H.2
Boyd, S.P.3
-
35
-
-
77951291046
-
A singular value thresholding algorithm for matrix completion
-
Cai J.F., Candes E.J., Shen Z.W. A singular value thresholding algorithm for matrix completion. SIAM J. Optim. 2010, 20:1956-1982.
-
(2010)
SIAM J. Optim.
, vol.20
, pp. 1956-1982
-
-
Cai, J.F.1
Candes, E.J.2
Shen, Z.W.3
-
36
-
-
56349125172
-
On diversity and accuracy of homogeneous and heterogeneous ensembles
-
Bian S., Wang W. On diversity and accuracy of homogeneous and heterogeneous ensembles. Int. J. Hybrid Intell. Syst. 2007, 4:103-128.
-
(2007)
Int. J. Hybrid Intell. Syst.
, vol.4
, pp. 103-128
-
-
Bian, S.1
Wang, W.2
-
37
-
-
33748611921
-
Ensemble based systems in decision making
-
Polikar R. Ensemble based systems in decision making. IEEE Circuits Syst. Mag. 2006, 6:21-45.
-
(2006)
IEEE Circuits Syst. Mag.
, vol.6
, pp. 21-45
-
-
Polikar, R.1
|