-
1
-
-
65549136186
-
An introduction to artificial neural networks in bioinformatics application to complex microarray and mass spectrometry datasets in cancer studies
-
10.1093/bib/bbp012 19307287
-
An introduction to artificial neural networks in bioinformatics application to complex microarray and mass spectrometry datasets in cancer studies. LJ Lancashire C Lemetre GR Ball, Brief Bioinform 2009 10 315 329 10.1093/bib/bbp012 19307287
-
(2009)
Brief Bioinform
, vol.10
, pp. 315-329
-
-
Lancashire, L.J.1
Lemetre, C.2
Ball, G.R.3
-
2
-
-
34548125448
-
Logistic regression for disease classification using microarray data: Model selection in a large p and small n case
-
DOI 10.1093/bioinformatics/btm287
-
Logistic regression for disease classification using microarray data: model selection in a large p and small n case. JG Liao KV Chin, Bioinformatics 2007 23 1945 1951 10.1093/bioinformatics/btm287 17540680 (Pubitemid 47299835)
-
(2007)
Bioinformatics
, vol.23
, Issue.15
, pp. 1945-1951
-
-
Liao, J.G.1
Chin, K.-V.2
-
3
-
-
0034598746
-
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
-
DOI 10.1038/35000501
-
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. AA Alizadeh MB Eisen RE Davis C Ma IS Lossos A Rosenwald JC Boldrick H Sabet T Tran X Yu JI Powell L Yang GE Marti T Moore J Hudson Jr L Lu DB Lewis R Tibshirani G Sherlock WC Chan TC Greiner DD Weisenburger JO Armitage R Warnke R Levy W Wilson MR Grever JC Byrd D Botstein PO Brown LM Staudt, Nature 2000 403 503 511 10.1038/35000501 10676951 (Pubitemid 30082188)
-
(2000)
Nature
, vol.403
, Issue.6769
, pp. 503-511
-
-
Alizadeh, A.A.1
Elsen, M.B.2
Davis, R.E.3
Ma, C.L.4
Lossos, I.S.5
Rosenwald, A.6
Boldrick, J.C.7
Sabet, H.8
Tran, T.9
Yu, X.10
Powell, J.I.11
Yang, L.12
Maru, G.E.13
Moore, T.14
Hudson Jr., J.15
Lu, L.16
Lewis, D.B.17
Tibshirani, R.18
Sherlock, G.19
Chan, W.C.20
Greiner, T.C.21
Weisenburger, D.D.22
Armitage, J.O.23
Warnke, R.24
Levy, R.25
Wilson, W.26
Grever, M.R.27
Byrd, J.C.28
Botstein, D.29
Brown, P.O.30
Staudt, L.M.31
more..
-
4
-
-
18544365698
-
Gene-expression profiles predict survival of patients with lung adenocarcinoma
-
DOI 10.1038/nm733
-
Gene-expression profiles predict survival of patients with lung adenocarcinoma. DG Beer SL Kardia CC Huang TJ Giordano AM Levin DE Misek L Lin G Chen TG Gharib DG Thomas ML Lizyness R Kuick S Hayasaka JM Taylor MD Iannettoni MB Orringer S Hanash, Nat Med 2002 8 816 824 12118244 (Pubitemid 34887245)
-
(2002)
Nature Medicine
, vol.8
, Issue.8
, pp. 816-824
-
-
Beer, D.G.1
Kardia, S.L.R.2
Huang, C.-C.3
Giordano, T.J.4
Levin, A.M.5
Misek, D.E.6
Lin, L.7
Chen, G.8
Gharib, T.G.9
Thomas, D.G.10
Lizyness, M.L.11
Kuick, R.12
Hayasaka, S.13
Taylor, J.M.G.14
Iannettoni, M.D.15
Orringer, M.B.16
Hanash, S.17
-
5
-
-
0037226593
-
A molecular signature of metastasis in primary solid tumors
-
DOI 10.1038/ng1060
-
A molecular signature of metastasis in primary solid tumors. S Ramaswamy KN Ross ES Lander TR Golub, Nat Genet 2003 33 49 54 10.1038/ng1060 12469122 (Pubitemid 36068681)
-
(2003)
Nature Genetics
, vol.33
, Issue.1
, pp. 49-54
-
-
Ramaswamy, S.1
Ross, K.N.2
Lander, E.S.3
Golub, T.R.4
-
6
-
-
65249163979
-
A new regularized least squares support vector regression for gene selection
-
19187562 10.1186/1471-2105-10-44
-
A new regularized least squares support vector regression for gene selection. PC Chen SY Huang WJ Chen CK Hsiao, BMC Bioinformatics 2009 10 44 19187562 10.1186/1471-2105-10-44
-
(2009)
BMC Bioinformatics
, vol.10
, pp. 44
-
-
Chen, P.C.1
Huang, S.Y.2
Chen, W.J.3
Hsiao, C.K.4
-
7
-
-
48549094895
-
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
-
18647401 10.1186/1471-2105-9-319
-
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification. A Statnikov L Wang CF Aliferis, BMC Bioinformatics 2008 9 319 18647401 10.1186/1471-2105-9-319
-
(2008)
BMC Bioinformatics
, vol.9
, pp. 319
-
-
Statnikov, A.1
Wang, L.2
Aliferis, C.F.3
-
8
-
-
48249110665
-
Microarray-based classification and clinical predictors: On combined classifiers and additional predictive value
-
10.1093/bioinformatics/btn262 18544547
-
Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value. AL Boulesteix C Porzelius M Daumer, Bioinformatics 2008 24 1698 1706 10.1093/bioinformatics/btn262 18544547
-
(2008)
Bioinformatics
, vol.24
, pp. 1698-1706
-
-
Boulesteix, A.L.1
Porzelius, C.2
Daumer, M.3
-
9
-
-
33749030973
-
Identifying genes that contribute most to good classification in microarrays
-
DOI 10.1186/1471-2105-7-407
-
Identifying genes that contribute most to good classification in microarrays. SG Baker BS Kramer, BMC Bioinformatics 2006 7 407 16959042 10.1186/1471-2105-7-407 (Pubitemid 44446720)
-
(2006)
BMC Bioinformatics
, vol.7
, pp. 407
-
-
Baker, S.G.1
Kramer, B.S.2
-
10
-
-
65649149784
-
Regularized F-measure maximization for feature selection and classification
-
19421401
-
Regularized F-measure maximization for feature selection and classification. Z Liu M Tan F Jiang, J Biomed Biotechnol 2009 2009 617946 19421401
-
(2009)
J Biomed Biotechnol
, vol.2009
, pp. 617946
-
-
Liu, Z.1
Tan, M.2
Jiang, F.3
-
11
-
-
51649118105
-
Incremental forward feature selection with application to microarray gene expression data
-
10.1080/10543400802277868 18781519
-
Incremental forward feature selection with application to microarray gene expression data. YJ Lee CC Chang CH Chao, J Biopharm Stat 2008 18 827 840 10.1080/10543400802277868 18781519
-
(2008)
J Biopharm Stat
, vol.18
, pp. 827-840
-
-
Lee, Y.J.1
Chang, C.C.2
Chao, C.H.3
-
12
-
-
34948844661
-
A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue
-
DOI 10.1016/j.artmed.2007.07.008, PII S0933365707000978, Integrative data mining in systems biology
-
A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue. Z Chen J Li L Wei, Artif Intell Med 2007 41 161 175 10.1016/j.artmed.2007.07.008 17851055 (Pubitemid 47534223)
-
(2007)
Artificial Intelligence in Medicine
, vol.41
, Issue.2
, pp. 161-175
-
-
Chen, Z.1
Li, J.2
Wei, L.3
-
13
-
-
34250676530
-
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
-
DOI 10.1186/1471-2105-8-144
-
Recursive cluster elimination (RCE) for classification and feature selection from gene expression data. M Yousef S Jung LC Showe MK Showe, BMC Bioinformatics 2007 8 144 17474999 10.1186/1471-2105-8-144 (Pubitemid 47096954)
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 144
-
-
Yousef, M.1
Jung, S.2
Showe, L.C.3
Showe, M.K.4
-
14
-
-
25444446813
-
Evaluation of normalization methods for cDNA microarray data by k-NN classification
-
DOI 10.1186/1471-2105-6-191
-
Evaluation of normalization methods for cDNA microarray data by k-NN classification. W Wu EP Xing C Myers IS Mian MJ Bissell, BMC Bioinformatics 2005 6 191 16045803 10.1186/1471-2105-6-191 (Pubitemid 41372475)
-
(2005)
BMC Bioinformatics
, vol.6
, pp. 191
-
-
Wu, W.1
Xing, E.P.2
Myers, C.3
Mian, I.S.4
Bissell, M.J.5
-
15
-
-
34247250323
-
Consensus framework for exploring microarray data using multiple clustering methods
-
DOI 10.1089/omi.2006.0008
-
Consensus framework for exploring microarray data using multiple clustering methods. T Laderas S McWeeney, OMICS 2007 11 116 128 10.1089/omi.2006.0008 17411399 (Pubitemid 46608897)
-
(2007)
OMICS A Journal of Integrative Biology
, vol.11
, Issue.1
, pp. 116-128
-
-
Laderas, T.1
Mcweeney, S.2
-
17
-
-
34548676616
-
Breast cancer molecular signatures as determined by SAGE: Correlation with lymph node status
-
DOI 10.1158/1541-7786.MCR-07-0055
-
Breast cancer molecular signatures as determined by SAGE: correlation with lymph node status. MC Abba H Sun KA Hawkins JA Drake Y Hu MI Nunez S Gaddis T Shi S Horvath A Sahin CM Aldaz, Mol Cancer Res 2007 5 881 890 10.1158/1541-7786.MCR-07-0055 17855657 (Pubitemid 47416665)
-
(2007)
Molecular Cancer Research
, vol.5
, Issue.9
, pp. 881-890
-
-
Abba, M.C.1
Sun, H.2
Hawkins, K.A.3
Drake, J.A.4
Hu, Y.5
Nunez, M.I.6
Gaddis, S.7
Shi, T.8
Horvath, S.9
Sahin, A.10
Aldaz, C.M.11
-
18
-
-
34548127285
-
Large-scale integration of cancer microarray data identifies a robust common cancer signature
-
DOI 10.1186/1471-2105-8-275
-
Large-scale integration of cancer microarray data identifies a robust common cancer signature. L Xu D Geman RL Winslow, BMC Bioinformatics 2007 8 275 17663766 10.1186/1471-2105-8-275 (Pubitemid 47300041)
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 275
-
-
Xu, L.1
Geman, D.2
Winslow, R.L.3
-
19
-
-
1542268315
-
Multi-class cancer subtype classification based on gene expression signatures with reliability analysis
-
DOI 10.1016/S0014-5793(04)00175-9, PII S0014579304001759
-
Multi-class cancer subtype classification based on gene expression signatures with reliability analysis. LM Fu CS Fu-Liu, FEBS Lett 2004 561 186 190 10.1016/S0014-5793(04)00175-9 15013775 (Pubitemid 38317319)
-
(2004)
FEBS Letters
, vol.561
, Issue.1-3
, pp. 186-190
-
-
Fu, L.M.1
Fu-Liu, C.S.2
-
20
-
-
59649124237
-
Integrating biological knowledge with gene expression profiles for survival prediction of cancer
-
10.1089/cmb.2008.12TT 19183004
-
Integrating biological knowledge with gene expression profiles for survival prediction of cancer. X Chen L Wang, J Comput Biol 2009 16 265 278 10.1089/cmb.2008.12TT 19183004
-
(2009)
J Comput Biol
, vol.16
, pp. 265-278
-
-
Chen, X.1
Wang, L.2
-
21
-
-
36549072440
-
Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data
-
DOI 10.1093/bioinformatics/btm488
-
Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data. F Tai W Pan, Bioinformatics 2007 23 3170 3177 10.1093/bioinformatics/btm488 17933851 (Pubitemid 350187519)
-
(2007)
Bioinformatics
, vol.23
, Issue.23
, pp. 3170-3177
-
-
Tai, F.1
Pan, W.2
-
22
-
-
10044240790
-
Using prior knowledge to improve genetic network reconstruction from microarray data
-
Using prior knowledge to improve genetic network reconstruction from microarray data. P Le Phillip A Bahl LH Ungar, In Silico Biol 2004 4 335 353 15724284 (Pubitemid 39600480)
-
(2004)
In Silico Biology
, vol.4
, Issue.3
, pp. 335-353
-
-
Le, P.P.1
Bahl, A.2
Ungar, L.H.3
-
23
-
-
44649159153
-
Recent trends of cancer in Europe: A combined approach of incidence, survival and mortality for 17 cancer sites since the 1990s
-
10.1016/j.ejca.2007.12.015 18280139
-
Recent trends of cancer in Europe: A combined approach of incidence, survival and mortality for 17 cancer sites since the 1990s. HE Karim-Kos E de Vries I Soerjomataram V Lemmens S Siesling JW Coebergh, Eur J Cancer 2008 44 1345 1389 10.1016/j.ejca.2007.12.015 18280139
-
(2008)
Eur J Cancer
, vol.44
, pp. 1345-1389
-
-
Karim-Kos, H.E.1
De Vries, E.2
Soerjomataram, I.3
Lemmens, V.4
Siesling, S.5
Coebergh, J.W.6
-
24
-
-
44249086425
-
Non-small cell lung cancer: Epidemiology, risk factors, treatment, and survivorship
-
DOI 10.4065/83.5.584
-
Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship. JR Molina P Yang SD Cassivi SE Schild AA Adjei, Mayo Clin Proc 2008 83 584 594 10.4065/83.5.584 18452692 (Pubitemid 351720831)
-
(2008)
Mayo Clinic Proceedings
, vol.83
, Issue.5
, pp. 584-594
-
-
Molina, J.R.1
Yang, P.2
Cassivi, S.D.3
Schild, S.E.4
Adjei, A.A.5
-
25
-
-
1542719912
-
Lung cancer mortality patterns in selected Central, Eastern and Southern European countries
-
DOI 10.1002/ijc.20019
-
Lung cancer mortality patterns in selected Central, Eastern and Southern European countries. JE Tyczynski F Bray T Aareleid M Dalmas J Kurtinaitis I Plesko V Pompe-Kirn A Stengrevics DM Parkin, Int J Cancer 2004 109 598 610 10.1002/ijc.20019 14991583 (Pubitemid 38339652)
-
(2004)
International Journal of Cancer
, vol.109
, Issue.4
, pp. 598-610
-
-
Tyczynski, J.E.1
Bray, F.2
Aareleid, T.3
Dalmas, M.4
Kurtinaitis, J.5
Plesko, I.6
Pompe-Kirn, V.7
Stengrevics, A.8
Parkin, D.M.9
-
26
-
-
0042590987
-
The changing epidemiology of lung cancer in Europe
-
DOI 10.1016/S0169-5002(03)00230-7
-
The changing epidemiology of lung cancer in Europe. ML Janssen-Heijnen JW Coebergh, Lung Cancer 2003 41 245 58 10.1016/S0169-5002(03)00230-7 12928116 (Pubitemid 36970181)
-
(2003)
Lung Cancer
, vol.41
, Issue.3
, pp. 245-258
-
-
Janssen-Heijnen, M.L.G.1
Coebergh, J.-W.W.2
-
27
-
-
58149379887
-
Mortality attributable to smoking in China
-
10.1056/NEJMsa0802902 19129528
-
Mortality attributable to smoking in China. D Gu TN Kelly X Wu J Chen JM Samet JF Huang M Zhu JC Chen CS Chen X Duan MJ Klag J He, N Engl J Med 2009 360 150 159 10.1056/NEJMsa0802902 19129528
-
(2009)
N Engl J Med
, vol.360
, pp. 150-159
-
-
Gu, D.1
Kelly, T.N.2
Wu, X.3
Chen, J.4
Samet, J.M.5
Huang, J.F.6
Zhu, M.7
Chen, J.C.8
Chen, C.S.9
Duan, X.10
Klag, M.J.11
He, J.12
-
28
-
-
44249086425
-
Non-small cell lung cancer: Epidemiology, risk factors, treatment, and survivorship
-
DOI 10.4065/83.5.584
-
Non-small cell lung cancer: epidemiology, risk factors, treatment, and survivorship. JR Molina P Yang SD Cassivi SE Schild AA Adjei, Mayo Clin Proc 2008 83 584 594 10.4065/83.5.584 18452692 (Pubitemid 351720831)
-
(2008)
Mayo Clinic Proceedings
, vol.83
, Issue.5
, pp. 584-594
-
-
Molina, J.R.1
Yang, P.2
Cassivi, S.D.3
Schild, S.E.4
Adjei, A.A.5
-
29
-
-
0036735386
-
Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma
-
Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma. GJ Gordon RV Jensen LL Hsiao SR Gullans JE Blumenstock S Ramaswamy WG Richards DJ Sugarbaker R Bueno, Cancer Res 2002 62 4963 4967 12208747 (Pubitemid 34984420)
-
(2002)
Cancer Research
, vol.62
, Issue.17
, pp. 4963-4967
-
-
Gordon, G.J.1
Jensen, R.V.2
Hsiao, L.-L.3
Gullans, S.R.4
Blumenstock, J.E.5
Ramaswamy, S.6
Richards, W.G.7
Sugarbaker, D.J.8
Bueno, R.9
-
30
-
-
0035923521
-
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
-
DOI 10.1073/pnas.191502998
-
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. A Bhattacharjee WG Richards J Staunton C Li S Monti P Vasa C Ladd J Beheshti R Bueno M Gillette M Loda G Weber EJ Mark ES Lander W Wong BE Johnson TR Golub DJ Sugarbaker M Meyerson, Proc Natl Acad Sci USA 2001 98 13790 13795 11707567 10.1073/pnas.191502998 (Pubitemid 33115977)
-
(2001)
Proceedings of the National Academy of Sciences of the United States of America
, vol.98
, Issue.24
, pp. 13790-13795
-
-
Bhattacharjee, A.1
Richards, W.G.2
Staunton, J.3
Li, C.4
Monti, S.5
Vasa, P.6
Ladd, C.7
Beheshti, J.8
Bueno, R.9
Gillette, M.10
Loda, M.11
Weber, G.12
Mark, E.J.13
Lander, E.S.14
Wong, W.15
Johnson, B.E.16
Golub, T.R.17
Sugarbaker, D.J.18
Meyerson, M.19
-
31
-
-
2342533421
-
Class prediction by nearest shrunken centroids, with applications to DNA microarrays
-
DOI 10.1214/ss/1056397488
-
Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays. R Tibshirani T Hastie B Narasimhan G Chu, Stat Sci 2003 18 104 117 10.1214/ss/1056397488 (Pubitemid 41461824)
-
(2003)
Statistical Science
, vol.18
, Issue.1
, pp. 104-117
-
-
Tibshirani, R.1
Hastie, T.2
Narasimhan, B.3
Chu, G.4
-
32
-
-
34249649636
-
Improved centroids estimation for the nearest shrunken centroid classifier
-
DOI 10.1093/bioinformatics/btm046
-
Improved centroids estimation for the nearest shrunken centroid classifier. S Wang J Zhu, Bioinformatics 2007 23 972 979 10.1093/bioinformatics/ btm046 17384429 (Pubitemid 47050584)
-
(2007)
Bioinformatics
, vol.23
, Issue.8
, pp. 972-979
-
-
Wang, S.1
Zhu, J.2
-
33
-
-
34249753618
-
Support-vector network
-
Support-vector network. C Cortes V Vapnik, Mach Learn 1995 20 1 25
-
(1995)
Mach Learn
, vol.20
, pp. 1-25
-
-
Cortes, C.1
Vapnik, V.2
-
34
-
-
44449145580
-
A comparative study of different machine learning methods on microarray gene expression data
-
DOI 10.1186/1471-2164-9-S1-S13
-
A comparative study of different machine learning methods on microarray gene expression data. M Pirooznia JY Yang MQ Yang Y Deng, BMC Genomics 2008 9 Suppl 1 S13 18366602 10.1186/1471-2164-9-S1-S13 (Pubitemid 351837303)
-
(2008)
BMC Genomics
, vol.9
, Issue.SUPPL. 1
-
-
Pirooznia, M.1
Yang, J.Y.2
Qu, M.Q.3
Deng, Y.4
-
35
-
-
33947414058
-
SVM Classifier - A comprehensive java interface for support vector machine classification of microarray data
-
DOI 10.1186/1471-2105-7-S4-S25
-
SVM Classifier-a comprehensive java interface for support vector machine classification of microarray data. M Pirooznia Y Deng, BMC Bioinformatics 2006 7 Suppl 4 S25 17217518 10.1186/1471-2105-7-S4-S25 (Pubitemid 46442987)
-
(2006)
BMC Bioinformatics
, vol.7
, Issue.SUPPL. 4
-
-
Pirooznia, M.1
Deng, Y.2
-
36
-
-
10744220733
-
Identification of genes down-regulated during melanoma progression: A cDNA array study
-
DOI 10.1034/j.1600-0625.2003.00026.x
-
Identification of genes down-regulated during lung cancer progression: a cDNA array study. M Campioni V Ambrogi E Pompeo G Citro M Castelli EP Spugnini A Gatti P Cardelli L Lorenzon A Baldi TC Mineo, J Exp Clin Cancer Res 2008 27 38 18793406 10.1186/1756-9966-27-38 (Pubitemid 36934707)
-
(2003)
Experimental Dermatology
, vol.12
, Issue.2
, pp. 213-218
-
-
Baldi, A.1
Battista, T.2
De Luca, A.3
Santini, D.4
Rossiello, L.5
Baldi, F.6
Natali, P.G.7
Lombardi, D.8
Picardo, M.9
Felsani, A.10
Paggi, M.G.11
-
37
-
-
21444442035
-
Discovering molecular functions significantly related to phenotypes by combining gene expression data and biological information
-
DOI 10.1093/bioinformatics/bti457
-
Discovering molecular functions significantly related to phenotypes by combining gene expression data and biological information. F Al-Shahrour R Díaz-Uriarte J Dopazo, Bioinformatics 2005 21 2988 2993 10.1093/bioinformatics/bti457 15840702 (Pubitemid 40916423)
-
(2005)
Bioinformatics
, vol.21
, Issue.13
, pp. 2988-2993
-
-
Al-Shahrour, F.1
Diaz-Uriarte, R.2
Dopazo, J.3
-
38
-
-
33646895693
-
Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data
-
DOI 10.1093/bioinformatics/btl065
-
Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data. D Huang W Pan, Bioinformatics 2006 22 1259 1268 10.1093/bioinformatics/btl065 16500932 (Pubitemid 43779020)
-
(2006)
Bioinformatics
, vol.22
, Issue.10
, pp. 1259-1268
-
-
Huang, D.1
Pan, W.2
-
39
-
-
0033569406
-
Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
-
10.1126/science.286.5439.531 10521349
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. TR Golub DK Slonim P Tamayo C Huard M Gaasenbeek JP Mesirov H Coller ML Loh JR Downing MA Caligiuri CD Bloomfield ES Landers, Science 1999 286 531 537 10.1126/science.286.5439.531 10521349
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.R.1
Slonim, D.K.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.P.6
Coller, H.7
Loh, M.L.8
Downing, J.R.9
Caligiuri, M.A.10
Bloomfield, C.D.11
Landers, E.S.12
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