-
1
-
-
78149456734
-
A factorization method for the classification of infrared spectra
-
10.1186/1471-2105-11-561, 3247165, 21078178
-
Henneges C, Laskov P, Darmawan E, Backhaus J, Kammerer B, Zell A. A factorization method for the classification of infrared spectra. BMC Bioinformatics 2010, 11:561. 10.1186/1471-2105-11-561, 3247165, 21078178.
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 561
-
-
Henneges, C.1
Laskov, P.2
Darmawan, E.3
Backhaus, J.4
Kammerer, B.5
Zell, A.6
-
2
-
-
79951495824
-
A Three Component Latent Class Model for Robust Semiparametric Gene Discovery
-
Article 7
-
Alfo M, Farcomeni A, Tardella L. A Three Component Latent Class Model for Robust Semiparametric Gene Discovery. Stat Appl in Genet and Mol Biol 2011, 10(1). Article 7.
-
(2011)
Stat Appl in Genet and Mol Biol
, vol.10
, Issue.1
-
-
Alfo, M.1
Farcomeni, A.2
Tardella, L.3
-
3
-
-
48249153778
-
Knowledge-based gene expression classification via matrix factorization
-
10.1093/bioinformatics/btn245, 2638868, 18535085
-
Schachtner R, Lutter D, Knollmüller P, Tomé AM, Theis FJ, Schmitz G, Stetter M, Vilda PG, Lang EW. Knowledge-based gene expression classification via matrix factorization. Bioinformatics 2008, 24:1688-1697. 10.1093/bioinformatics/btn245, 2638868, 18535085.
-
(2008)
Bioinformatics
, vol.24
, pp. 1688-1697
-
-
Schachtner, R.1
Lutter, D.2
Knollmüller, P.3
Tomé, A.M.4
Theis, F.J.5
Schmitz, G.6
Stetter, M.7
Vilda, P.G.8
Lang, E.W.9
-
4
-
-
0036166753
-
Linear modes of gene expression determined by independent component analysis
-
10.1093/bioinformatics/18.1.51, 11836211
-
Liebermeister W. Linear modes of gene expression determined by independent component analysis. Bioinformatics 2002, 18:51-60. 10.1093/bioinformatics/18.1.51, 11836211.
-
(2002)
Bioinformatics
, vol.18
, pp. 51-60
-
-
Liebermeister, W.1
-
5
-
-
41549100951
-
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis
-
10.1186/1471-2105-9-100, 2277398, 18279525
-
Lutter D, Ugocsai P, Grandl M, Orso E, Theis F, Lang EW, Schmitz G. Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis. BMC Bioinformatics 2008, 9:100. 10.1186/1471-2105-9-100, 2277398, 18279525.
-
(2008)
BMC Bioinformatics
, vol.9
, pp. 100
-
-
Lutter, D.1
Ugocsai, P.2
Grandl, M.3
Orso, E.4
Theis, F.5
Lang, E.W.6
Schmitz, G.7
-
6
-
-
44649149032
-
Hybridizing Sparse Component Analysis with Genetic Algorithms for Microarray Analysis
-
Stadtlthanner K, Theis FJ, Lang EW, Tomé AM, Puntonet CG, Górriz JM. Hybridizing Sparse Component Analysis with Genetic Algorithms for Microarray Analysis. Neurocomputing 2008, 71:2356-2376.
-
(2008)
Neurocomputing
, vol.71
, pp. 2356-2376
-
-
Stadtlthanner, K.1
Theis, F.J.2
Lang, E.W.3
Tomé, A.M.4
Puntonet, C.G.5
Górriz, J.M.6
-
7
-
-
33645794993
-
Biclustering of gene expression data by non-smooth non-negative matrix factorization
-
10.1186/1471-2105-7-78, 1434777, 16503973
-
Carmona-Saez P, Pascual-Marqui RD, Tirado F, Carazo JM, Pascual-Montano A. Biclustering of gene expression data by non-smooth non-negative matrix factorization. BMC Bioinformatics 2006, 7:78. 10.1186/1471-2105-7-78, 1434777, 16503973.
-
(2006)
BMC Bioinformatics
, vol.7
, pp. 78
-
-
Carmona-Saez, P.1
Pascual-Marqui, R.D.2
Tirado, F.3
Carazo, J.M.4
Pascual-Montano, A.5
-
8
-
-
1542473171
-
Application of independent component analysis to microarrays
-
10.1186/gb-2003-4-11-r76, 329130, 14611662
-
Lee SI, Batzoglou S. Application of independent component analysis to microarrays. Genome Biol 2003, 4:R76. 10.1186/gb-2003-4-11-r76, 329130, 14611662.
-
(2003)
Genome Biol
, vol.4
-
-
Lee, S.I.1
Batzoglou, S.2
-
9
-
-
10244255213
-
Biologically valid linear factor models of gene expression
-
10.1093/bioinformatics/bth354, 15201181
-
Girolami M, Breitling R. Biologically valid linear factor models of gene expression. Bioinformatics 2004, 20:3021-3033. 10.1093/bioinformatics/bth354, 15201181.
-
(2004)
Bioinformatics
, vol.20
, pp. 3021-3033
-
-
Girolami, M.1
Breitling, R.2
-
10
-
-
1642529511
-
Metagenes and molecular pattern discovery using matrix factorization
-
10.1073/pnas.0308531101, 384712, 15016911
-
Brunet JP, Tamayo P, Golub TR, Mesirov JP. Metagenes and molecular pattern discovery using matrix factorization. Proc Natl Acad Sci USA 2004, 101:4164-4169. 10.1073/pnas.0308531101, 384712, 15016911.
-
(2004)
Proc Natl Acad Sci USA
, vol.101
, pp. 4164-4169
-
-
Brunet, J.P.1
Tamayo, P.2
Golub, T.R.3
Mesirov, J.P.4
-
11
-
-
27744601822
-
Improving molecular cancer class discovery through sparse non-negative matrix factorization
-
10.1093/bioinformatics/bti653, 16244221
-
Gao Y, Church G. Improving molecular cancer class discovery through sparse non-negative matrix factorization. Bioinformatics 2005, 21:3970-3975. 10.1093/bioinformatics/bti653, 16244221.
-
(2005)
Bioinformatics
, vol.21
, pp. 3970-3975
-
-
Gao, Y.1
Church, G.2
-
12
-
-
34547844077
-
Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis
-
10.1093/bioinformatics/btm134, 17483501
-
Kim H, Park H. Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis. Bioinformatics 2007, 23:1495-1502. 10.1093/bioinformatics/btm134, 17483501.
-
(2007)
Bioinformatics
, vol.23
, pp. 1495-1502
-
-
Kim, H.1
Park, H.2
-
13
-
-
3543076921
-
Application of the GA/KNN method to SELDI proteomics data
-
10.1093/bioinformatics/bth098, 14962943
-
Li L, Umbach DM, Terry P, Taylor JA. Application of the GA/KNN method to SELDI proteomics data. Bioinformatics 2004, 20:1638-1640. 10.1093/bioinformatics/bth098, 14962943.
-
(2004)
Bioinformatics
, vol.20
, pp. 1638-1640
-
-
Li, L.1
Umbach, D.M.2
Terry, P.3
Taylor, J.A.4
-
14
-
-
19544394460
-
Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data
-
10.1093/bioinformatics/bti370, 15784749
-
Yu JS, Ongarello S, Fiedler R, Chen XW, Toffolo G, Cobelli C, Trajanoski Z. Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data. Bioinformatics 2005, 21:2200-2209. 10.1093/bioinformatics/bti370, 15784749.
-
(2005)
Bioinformatics
, vol.21
, pp. 2200-2209
-
-
Yu, J.S.1
Ongarello, S.2
Fiedler, R.3
Chen, X.W.4
Toffolo, G.5
Cobelli, C.6
Trajanoski, Z.7
-
15
-
-
25144474549
-
Ensemble dependence model for classification and prediction of cancer and normal gene expression data
-
10.1093/bioinformatics/bti483, 15879455
-
Qiu P, Wang ZJ, Liu RKJ. Ensemble dependence model for classification and prediction of cancer and normal gene expression data. Bioinformatics 2005, 21:3114-3121. 10.1093/bioinformatics/bti483, 15879455.
-
(2005)
Bioinformatics
, vol.21
, pp. 3114-3121
-
-
Qiu, P.1
Wang, Z.J.2
Liu, R.K.J.3
-
16
-
-
69849106821
-
Capillary electrophoresis-mass spectrometry as powerful tool in biomarker discovery and clinical diagnosis: an update of recent developments
-
Mischak H, Coon JJ, Novak J, Weissinger EM, Schanstra J, Dominiczak AF. Capillary electrophoresis-mass spectrometry as powerful tool in biomarker discovery and clinical diagnosis: an update of recent developments. Mass Spectrom Rev 2008, 28:703-724.
-
(2008)
Mass Spectrom Rev
, vol.28
, pp. 703-724
-
-
Mischak, H.1
Coon, J.J.2
Novak, J.3
Weissinger, E.M.4
Schanstra, J.5
Dominiczak, A.F.6
-
20
-
-
0346307721
-
A fast fixed-point algorithm for independent component analysis
-
Hyvärinen A, Oja E. A fast fixed-point algorithm for independent component analysis. Neural Computation 1997, 9:1483-1492.
-
(1997)
Neural Computation
, vol.9
, pp. 1483-1492
-
-
Hyvärinen, A.1
Oja, E.2
-
21
-
-
55049108997
-
Urine in clinical proteomics
-
10.1074/mcp.R800001-MCP200, 18667409
-
Decramer S, Gonzalez de Peredo A, Breuil B, Mischak H, Monsarrat B, Bascands JL, Schanstra JP. Urine in clinical proteomics. Mol Cell Proteomics 2008, 7:1850-1862. 10.1074/mcp.R800001-MCP200, 18667409.
-
(2008)
Mol Cell Proteomics
, vol.7
, pp. 1850-1862
-
-
Decramer, S.1
Gonzalez de Peredo, A.2
Breuil, B.3
Mischak, H.4
Monsarrat, B.5
Bascands, J.L.6
Schanstra, J.P.7
-
22
-
-
77749324141
-
Blind separation of analytes in nuclear magnetic resonance spectroscopy and mass spectrometry: sparseness-based robust multicomponent analysis
-
10.1021/ac902640y, 20131872
-
Kopriva I, Jeric I. Blind separation of analytes in nuclear magnetic resonance spectroscopy and mass spectrometry: sparseness-based robust multicomponent analysis. Analytical Chemistry 2010, 82:1911-1920. 10.1021/ac902640y, 20131872.
-
(2010)
Analytical Chemistry
, vol.82
, pp. 1911-1920
-
-
Kopriva, I.1
Jeric, I.2
-
23
-
-
70349281485
-
Multi-component Analysis: Blind Extraction of Pure Components Mass Spectra using Sparse Component Analysis
-
10.1002/jms.1627, 19670286
-
Kopriva I, Jerić I. Multi-component Analysis: Blind Extraction of Pure Components Mass Spectra using Sparse Component Analysis. Journal of Mass Spectrometry 2009, 44:1378-1388. 10.1002/jms.1627, 19670286.
-
(2009)
Journal of Mass Spectrometry
, vol.44
, pp. 1378-1388
-
-
Kopriva, I.1
Jerić, I.2
-
24
-
-
0033308514
-
A fast algorithm for estimating overcomplete ICA bases for image windows
-
Washington DC, USA
-
Hyvärinen A, Cristescu R, Oja E. A fast algorithm for estimating overcomplete ICA bases for image windows. Proc Int Joint Conf On Neural Networks 1999, 894-899. Washington DC, USA.
-
(1999)
Proc Int Joint Conf On Neural Networks
, pp. 894-899
-
-
Hyvärinen, A.1
Cristescu, R.2
Oja, E.3
-
25
-
-
0034133184
-
Learning overcomplete representations
-
10.1162/089976600300015826, 10636946
-
Lewicki M, Sejnowski TJ. Learning overcomplete representations. Neural Comput 2000, 12:337-365. 10.1162/089976600300015826, 10636946.
-
(2000)
Neural Comput
, vol.12
, pp. 337-365
-
-
Lewicki, M.1
Sejnowski, T.J.2
-
26
-
-
0035501128
-
Underdetermined blind source separation using sparse representations
-
Bofill P, Zibulevsky M. Underdetermined blind source separation using sparse representations. Signal Proc 2001, 81:2353-2362.
-
(2001)
Signal Proc
, vol.81
, pp. 2353-2362
-
-
Bofill, P.1
Zibulevsky, M.2
-
27
-
-
23044451368
-
Sparse component analysis and blind source separation of underdetermined mixtures
-
Georgiev P, Theis F, Cichocki A. Sparse component analysis and blind source separation of underdetermined mixtures. IEEE Trans Neural Net 2005, 16:992-996.
-
(2005)
IEEE Trans Neural Net
, vol.16
, pp. 992-996
-
-
Georgiev, P.1
Theis, F.2
Cichocki, A.3
-
28
-
-
2442473143
-
Analysis of Sparse Representation and Blind Source Separation
-
10.1162/089976604773717586, 15130247
-
Li Y, Cichocki A, Amari S. Analysis of Sparse Representation and Blind Source Separation. Neural Comput 2004, 16:1193-1234. 10.1162/089976604773717586, 15130247.
-
(2004)
Neural Comput
, vol.16
, pp. 1193-1234
-
-
Li, Y.1
Cichocki, A.2
Amari, S.3
-
29
-
-
31344466301
-
Underdetermined Blind Source Separation Based on Sparse Representation
-
Li Y, Amari S, Cichocki A, Ho DWC, Xie S. Underdetermined Blind Source Separation Based on Sparse Representation. IEEE Trans Signal Process 2006, 54:423-437.
-
(2006)
IEEE Trans Signal Process
, vol.54
, pp. 423-437
-
-
Li, Y.1
Amari, S.2
Cichocki, A.3
Ho, D.W.C.4
Xie, S.5
-
30
-
-
37749030729
-
Hierarchical ALS Algorithms for Nonnegative Matrix Factorization and 3D Tensor Factorization
-
Cichocki A, Zdunek R, Amari SI. Hierarchical ALS Algorithms for Nonnegative Matrix Factorization and 3D Tensor Factorization. LNCS 2007, 4666:169-176.
-
(2007)
LNCS
, vol.4666
, pp. 169-176
-
-
Cichocki, A.1
Zdunek, R.2
Amari, S.I.3
-
31
-
-
70450159554
-
Blind decomposition of low-dimensional multi-spectral image by sparse component analysis
-
Kopriva I, Cichocki A. Blind decomposition of low-dimensional multi-spectral image by sparse component analysis. J of Chemometrics 2009, 23:590-597.
-
(2009)
J of Chemometrics
, vol.23
, pp. 590-597
-
-
Kopriva, I.1
Cichocki, A.2
-
32
-
-
84900510076
-
Non-negative matrix factorization with sparseness constraints
-
Hoyer PO. Non-negative matrix factorization with sparseness constraints. Journal of Machine Learning Research 2004, 5:1457-1469.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.O.1
-
33
-
-
67349149997
-
An algorithm for mixing matrix estimation in instantaneous blind source separation
-
Reju VG, Koh SN, Soon IY. An algorithm for mixing matrix estimation in instantaneous blind source separation. Signal Proc 2009, 89:1762-1773.
-
(2009)
Signal Proc
, vol.89
, pp. 1762-1773
-
-
Reju, V.G.1
Koh, S.N.2
Soon, I.Y.3
-
34
-
-
67650178769
-
Underdetermined Blind Source Separation Based on Subspace Representation
-
Kim SG, Yoo CD. Underdetermined Blind Source Separation Based on Subspace Representation. IEEE Trans Sig Proc 2009, 57:2604-2614.
-
(2009)
IEEE Trans Sig Proc
, vol.57
, pp. 2604-2614
-
-
Kim, S.G.1
Yoo, C.D.2
-
35
-
-
44649197165
-
Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering
-
Naini FM, Mohimani GH, Babaie-Zadeh M, Jutten C. Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering. Neurocomputing 2008, 71:2330-2343.
-
(2008)
Neurocomputing
, vol.71
, pp. 2330-2343
-
-
Naini, F.M.1
Mohimani, G.H.2
Babaie-Zadeh, M.3
Jutten, C.4
-
36
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
Tibshirani R. Regression shrinkage and selection via the lasso. J Royal Statist Soc B 1996, 58:267-288.
-
(1996)
J Royal Statist Soc B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
37
-
-
77952743135
-
Computational Methods for Sparse Solution of Linear Inverse Problems
-
Tropp JA, Wright SJ. Computational Methods for Sparse Solution of Linear Inverse Problems. Proc of the IEEE 2010, 98:948-958.
-
(2010)
Proc of the IEEE
, vol.98
, pp. 948-958
-
-
Tropp, J.A.1
Wright, S.J.2
-
38
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
Beck A, Teboulle M. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J on Imag Sci 2009, 2:183-202.
-
(2009)
SIAM J on Imag Sci
, vol.2
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
39
-
-
84888284529
-
Selected publications list of professor Amir Beck
-
Selected publications list of professor Amir Beck. , http://ie.technion.ac.il/Home/Users/becka.html
-
-
-
-
41
-
-
0003684449
-
-
Springer, 3
-
Hastie T, Tibshirani R, Fiedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2009, 649-698. Springer, 3.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
, pp. 649-698
-
-
Hastie, T.1
Tibshirani, R.2
Fiedman, J.3
-
42
-
-
0037116832
-
Use of proteomic patterns in serum to identify ovarian cancer
-
Petricoin EF, Ardekani AM, Hitt BA, Levine PJ, Fusaro VA, Steinberg SM, Mills GB, Simone C, Fishman DA, Kohn EC, Liotta LA. Use of proteomic patterns in serum to identify ovarian cancer. The Lancet 2002, 359:572-577.
-
(2002)
The Lancet
, vol.359
, pp. 572-577
-
-
Petricoin, E.F.1
Ardekani, A.M.2
Hitt, B.A.3
Levine, P.J.4
Fusaro, V.A.5
Steinberg, S.M.6
Mills, G.B.7
Simone, C.8
Fishman, D.A.9
Kohn, E.C.10
Liotta, L.A.11
-
43
-
-
84888274655
-
National Cancer Institute clinical proteomics program
-
National Cancer Institute clinical proteomics program. , http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp
-
-
-
-
45
-
-
77955325026
-
A clustering based hybrid system for biomarker selection and sample classification of mass spectrometry data
-
Yang P, Zhang Z, Zhou BB, Zomaya AY. A clustering based hybrid system for biomarker selection and sample classification of mass spectrometry data. Neurocomputing 2010, 73:2317-2331.
-
(2010)
Neurocomputing
, vol.73
, pp. 2317-2331
-
-
Yang, P.1
Zhang, Z.2
Zhou, B.B.3
Zomaya, A.Y.4
-
46
-
-
0037120949
-
Serum proteomic patterns for detection of prostate cancer
-
Petricoin EF, Ornstein DK, Paweletz CP, Ardekani A, Hackett PS, Hitt BA, Velassco A, Trucco C, Wiegand L, Wood K, Simone CB, Levine PJ, Linehan WM, Emmert-Buck MR, Steinberg SM, Kohn EC, Liotta LA. Serum proteomic patterns for detection of prostate cancer. J Natl Canc Institute 2002, 94:1576-1578.
-
(2002)
J Natl Canc Institute
, vol.94
, pp. 1576-1578
-
-
Petricoin, E.F.1
Ornstein, D.K.2
Paweletz, C.P.3
Ardekani, A.4
Hackett, P.S.5
Hitt, B.A.6
Velassco, A.7
Trucco, C.8
Wiegand, L.9
Wood, K.10
Simone, C.B.11
Levine, P.J.12
Linehan, W.M.13
Emmert-Buck, M.R.14
Steinberg, S.M.15
Kohn, E.C.16
Liotta, L.A.17
-
48
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
-
10.1073/pnas.96.12.6745, 21986, 10359783
-
Alon U, Barkai N, Notterman DA, Gish K, Ybarra S, Mack D, Levine AJ. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci USA 1999, 96:6745-6750. 10.1073/pnas.96.12.6745, 21986, 10359783.
-
(1999)
Proc Natl Acad Sci USA
, vol.96
, pp. 6745-6750
-
-
Alon, U.1
Barkai, N.2
Notterman, D.A.3
Gish, K.4
Ybarra, S.5
Mack, D.6
Levine, A.J.7
-
49
-
-
84888281765
-
Data pertaining to the article 'Broad patterns of gene expression revealed by clustering of tumor and normal colon tissues probed by oligonucleotide arrays'
-
Data pertaining to the article 'Broad patterns of gene expression revealed by clustering of tumor and normal colon tissues probed by oligonucleotide arrays'. , http://genomics-pubs.princeton.edu/oncology/affydata/index.html
-
-
-
-
50
-
-
0037076322
-
Selection bias in gene extraction on the basis of microarray gene-expression data
-
10.1073/pnas.102102699, 124442, 11983868
-
Ambroise C, McLachlan G J. Selection bias in gene extraction on the basis of microarray gene-expression data. Proc Natl Acad Sci USA 2002, 99:6562-6566. 10.1073/pnas.102102699, 124442, 11983868.
-
(2002)
Proc Natl Acad Sci USA
, vol.99
, pp. 6562-6566
-
-
Ambroise, C.1
McLachlan G, J.2
-
51
-
-
24144440779
-
Gene extraction for cancer diagnosis using support vector machines
-
10.1016/j.artmed.2005.01.006, 16026974
-
Huang TM, Kecman V. Gene extraction for cancer diagnosis using support vector machines. Artificial Intelligence in Medicine 2005, 35:185-194. 10.1016/j.artmed.2005.01.006, 16026974.
-
(2005)
Artificial Intelligence in Medicine
, vol.35
, pp. 185-194
-
-
Huang, T.M.1
Kecman, V.2
|