Biomedical Engineering Reference
In-Depth Information
26. Tu Y, Stolovitzky G, Klein U. 2002. Quantitative noise analysis for gene expression microar-
ray experiments.
Proc Natl Acad Sci USA
99
:14031-1436.
27. Holter NS, Mitra M, Maritan A, Cieplak M, Banavar JR, Fedoroff NV. 2000. Fundamental
patterns underlying gene expression profiles: simplicity from complexity.
Proc Natl Acad Sci
USA
97
:8409-8414.
28. Alter O, Brown PO, Botstein D. 2000. Singular value decomposition for genome-wide expres-
sion data processing and modeling.
Proc Natl Acad Sci USA
97
:10101-10106.
29. Alter O, Brown PO, Botstein D. 2003. Generalized singular value decomposition for compara-
tive analysis of genome-scale expression data sets of two different organisms.
Proc Natl Acad
Sci USA
100
:3351-3356.
30. Nielsen TO, West RB, Linn SC, Alter O, Knowling MA, O'Connell JX, Zhu S, Fero M, Sher-
lock G, Pollack JR, Brown PO, Botstein D, van de Rijn M. 2002. Molecular characterisation of
soft tissue tumours: a gene expression study.
Lancet
359
:1301-1307.
31. Misra J, Schmitt W, Hwang D, Hsiao LL, Gullans S, Stephanopoulos G. 2002. Interactive
exploration of microarray gene expression patterns in a reduced dimensional space.
Genome
Res
12
:1112-1120.
32. Kluger Y, Basri R, Chang JT, Gerstein M. 2003. Spectral biclustering of microarray data:
coclustering genes and conditions.
Genome Res
13
:703-716.
33. Liebermeister W. 2002. Linear modes of gene expression determined by independent compo-
nent analysis.
Bioinformatics
18
:51-60.
34. Antoniadis A, Lambert-Lacroix S, Leblanc F. 2003. Effective dimension reduction methods for
tumor classification using gene expression data.
Bioinformatics
19
:563-570.
35. Bicciato S, Luchini A, Di Bello C. 2003. PCA disjoint models for multiclass cancer analysis
using gene expression data.
Bioinformatics
19
:571-578.
36. Lazzeroni L, Owen A. 2002. Plaid models for gene expression data.
Statistica Sinica
12
:61-86.
37. Cheng Y, Church GM. 2000. Biclustering of expression data.
Proc Int Conf Intell Syst Mol
Biol
8
:93-103.
38. Getz G, Levine E, Domany E. 2000. Coupled two-way clustering analysis of gene microarray
data.
Proc Natl Acad Sci USA
97
:12079-12084.
39. Califano A, Stolovitzky G, Tu Y. 2000. Analysis of gene expression microarrays for phenotype
classification.
Proc Int Conf Intell Syst Mol Biol
8
:75-85.
40. Dettling M, Buhlmann P. 2002. Supervised clustering of genes.
Genome Biol
3
:RESEARCH0069.
41.
Deutsch JM. 2003. Evolutionary algorithms for finding optimal gene sets in microarray predic-
tion.
Bioinformatics
19
:45-52.
42.
Kim S, Dougherty ER, Barrera J, Chen Y, Bittner ML, Trent JM. 2002. Strong feature sets
from small samples.
J Comput Biol
9
:127-146.
43.
Klein U, Tu Y, Stolovitzky GA, Keller JL, Haddad Jr J, Miljkovic V, Cattoretti G, Califano A,
Dalla-Favera R. 2003. Transcriptional analysis of the B cell germinal center reaction.
Proc
Natl Acad Sci USA
100
:2639-2644.
44.
Kuppers R, Klein U, Schwering I, Distler V, Brauninger A, Cattoretti G, Tu Y, Stolovitzky
GA, Califano A, Hansmann ML, Dalla-Favera R. 2003. Identification of Hodgkin and Reed-
Sternberg cell-specific genes by gene expression profiling.
J Clin Invest
111
:529-537.
45.
Jelinek DF, Tschumper RC, Stolovitzky GA, Iturria SJ, Tu Y, Lepre J, Shah N, Kay NE. 2003.
Identification of a global gene expression signature of B-chronic lymphocytic leukemia.
Mol
Cancer Res
1
:346-361.
46.
Lepre J, Rice JJ, Tu Y, Stolovitzky G. 2004. Genes@Work: an efficient algorithm for pattern
discovery and multivariate feature selection in gene expression data.
Bioinformatics
7
:1033-
1044.
47.
Martinez-Climent JA, Alizadeh AA, Segraves R, Blesa D, Rubio-Moscardo F, Albertson DG,
Garcia-Conde J, Dyer MJ, Levy R, Pinkel D, Lossos IS. 2003. Transformation of follicular