Microarrays in cancer: Research and applications

BioTechniques

Volumn 34, Issue 3 SUPPL., 2003, Pages

  Ochs, Michael F ^a   Godwin, Andrew K ^a  

^a FOX CHASE CANCER CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEMENTARY DNA; MESSENGER RNA; PROTEIN P53; TUMOR MARKER; DNA;

ALGORITHM; CANCER MORTALITY; CANCER RESEARCH; CANCER SCREENING; CHEMOPROPHYLAXIS; DNA LIBRARY; DNA MICROARRAY; EARLY DIAGNOSIS; EXPRESSED SEQUENCE TAG; GENE EXPRESSION; HISTOPATHOLOGY; HUMAN; IMMUNOHISTOCHEMISTRY; POLYMERASE CHAIN REACTION; PROGNOSIS; REVIEW; TUMOR CLASSIFICATION; ANIMAL; ARTIFICIAL INTELLIGENCE; CHEMISTRY; CLASSIFICATION; DNA SEQUENCE; GENE EXPRESSION REGULATION; GENETICS; INSTRUMENTATION; METHODOLOGY; NEOPLASM; RESEARCH; SIGNAL TRANSDUCTION;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; DNA, NEOPLASM; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RESEARCH; SEQUENCE ANALYSIS, DNA; SIGNAL TRANSDUCTION; TUMOR MARKERS, BIOLOGICAL;

EID: 0037336455     PISSN: 07366205     EISSN: None     Source Type: Journal    
DOI: 10.2144/mar03ochs     Document Type: Review

References (101)

1. Greenlee, R.T., T. Murray, S. Bolden, and P.A. Wingo. 2000. Cancer Statistics, 2000. CA Cancer J. Clin. 50:7-33.
2. Jemal, A., T. Murray, A. Samuels, A. Ghafoor, E. Ward, and M.J. Thun. 2003. Cancer Statistics, 2003. CA Cancer J. Clin. 53:5-26.
3. Simmonds, M.A. 2003. Cancer Statistics, 2003: Further decrease in mortality rate, increase in persons living with cancer. CA Cancer J. Clin. 53:4.
4. Lander, E.S., L.M. Linton, B. Birren, C. Nusbaum, M.C. Zody, J. Baldwin, K. Devon, K. Dewar, et al. 2001. Initial sequencing and analysis of the human genome. Nature 409:860-921.
5. Venter, J.C., M.D. Adams, E.W. Myers, P.W. Li, R.J. Mural, G.G. Sutton, H.O. Smith, M. Yandell, et al. 2001. The sequence of the human genome. Science 291:1304-1351.
6. Aebersold, R., L.E. Hood, and J.D. Watts. 2000. Equipping scientists for the new biology. Nat. Biotechnol. 18:359.
7. Liang, P. and A.B. Pardee. 1992. Differential display of eukaryotic messenger RNA by means of the polymerase chain reaction. Science 257:967-971.
8. Martin, K.J. and A.B. Pardee. 1999. Principles of differential display, Methods Enzymol. 303:234-258.
9. Lisitsyn, N. and M. Wigler. 1993. Cloning the differences between two complex genomes. Science 259:946-951.
10. Diatchenko, L., Y.-F. Lau, A. Campbell, A. Chienchik, F. Moqadam, B. Huang, S. Lukyanov, K. Lukyanov, et al. 1996. Suppression subtractive hybridization: A method for generating differentially regulated or tissue-specific cDNA probes and libraries. Proc. Natl. Acad. Sci. USA 93:6025-6030.
11. Wang, X. and G.Z. Feuerstein. 2000. Suppression substraction hybridisation: application in the discovery of novel pharmacological targets. Pharmacogenomics 1:101-108.
12. Velculescu, V.E., L. Zhang, B. Vogelstein, and K.W. Kinzler. 1995. Serial analysis ofgene expression. Science 270:484-487.
13. Agaton, C., P. Unneberg, M. Sievertzon, A. Holmberg, M. Ehn, M. Larsson, J. Odeberg, M. Uhlen, and J. Lundeberg. 2002. Gene expression analysis by signature pyrosequencing. Gene 289:31-39.
14. DeRisi, J.L., V.R. Iyer, and P.O. Brown. 1997. Exploring the metabolic and genetic control ofgene expression on a genome scale. Science 278:680-686.
15. Lashkari, D.A., J.L. DeRisi, J.H. McCusker, A.F. Namath, C. Gentile, S.Y. Hwang, P.O. Brown, and R.W. Davis. 1997. Yeast microarrays for genome wide parallel genetic and gene expression analysis. Proc. Natl. Acad. Sci. USA 94:13057-13062.
16. Lipshultz, R.J., S.P. Fodor, T.R. Gingeras, and D.J. Lockhart. 1999. High density synthetic oligonucleotide arrays. Nat. Genet. 21:20-24.
17. Lockhart, D.J. and E.A. Winzeler. 2000. Genomics, gene expression and DNA arrays. Nature 405:827-836.
18. Schena, M., D. Shalon, R.W. Davis, and P.O. Brown. 1995. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 270:467-470.
19. Pollack, J.R., C.M. Perou, A.A. Alizadeh, M.B. Eisen, A. Pergamenschikov, and C.F. Williams. 1999. Genome-wide analysis of DNA copy number changes using cDNA microarrays. Nat. Genet. 23:41-46.
20. Frolov, A., A.H. Prowse, L. Vanderveer, B. Bove, H. Wu, and A.K. Godwin. 2002. DNA array-based method for detection of large rearrangements in the BRCA1 gene. Genes Chromosomes Cancer 35:232-241.
21. Haab, B.B. 2001. Advances in protein microarray technology for protein expression and interaction profiling. Curr. Opin. Drug Discov. Dev. 4:116-123.
22. Fodor, S.P., J.L. Read, M.C. Pirrung, L. Stryer, A.T. Lu, and D. Solas. 1991. Light-directed, spatially addressable parallel chemical synthesis. Science 251:767-773.
23. Rose, S.D. 2002. Spotted arrays: technology overview, p. 3-14. In J.A. Warrington, C.R.Todd, and D. Wong (Eds.), Microarrays and Cancer Research. Eaton Publishing, Westboro, MA.
24. Okamoto, T., T. Suzuki, and N. Yamamoto. 2000. Microarray fabrication with covalent attachment of DNA using bubble jet technology. Nat. Biotechnol. 18:438-441.
25. Afshari, C.A., E.F. Nuwaysir, and J.C. Barrett. 1999. Application of complementary DNA microarray technology to carcinogen identification, toxicology, and drug safety evaluation. Cancer Res. 59:4759-4760.
26. Khan, J., R. Simon, M. Bittner, Y. Chen, S.B. Leighton, T. Pohida, P.D. Smith, Y. Jiang, et al. 1998. Gene expression profiling of alveolar rhabdomyosarcoma with cDNA microarrays. Cancer Res. 58:5009-5013.
27. Marx, J. 2000. Medicine, DNA arrays reveal cancer in its many forms. Science 289:1670-1672.
28. Bittner, M., P. Meltzer, Y. Chen, Y. Jiang, E. Seftor, M. Hendrix, M. Radmacher, R. Simon, et al. 2000. Molecular classification of cutaneous malignant melanoma by gene expression profiling. Nature 406:536-540.
29. DeRisi, J., L. Penland, P.O. Brown, M.L. Bittner, P.S. Meltzer, M. Ray, Y. Chen, Y.A. Su, and J.M. Trent. 1996. Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nat. Genet. 14:457-460.
30. Pease, A.C., D. Solas, E.J. Sullivan, M.T. Cronin, C.P. Holmes, and S.P. Fodor. 1994. Light-generated oligonucleotide arrays for rapid DNA sequence analysis. Proc. Natl. Acad. Sci. USA 91:5022-5026.
31. Perou, C.M., S.S. Jeffrey, M. van de Rijn, C.A. Rees, M.B. Eisen, D.T. Ross, A. Pergamenschikov, C.F. Williams, et al. 1999. Distinctive gene expression patterns in human mammary epithelial cells and breast cancers. Proc. Natl. Acad. Sci. USA 96:9212-9217.
32. Golub, T.R., D.K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J.P. Mesirov, H. Coller, M.L. Loh, et al. 1999. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286:531-537.
33. Yeoh, E.J., M.E. Ross, S.A. Shurtleff, W.K. Williams, D. Patel, R. Mahfouz, F.G. Behm, S.C. Raimondi, et al. 2002. Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell 1:133-143.
34. Ono, K., T. Tanaka, T. Tsunoda, O. Kitahara, C. Kihara, A. Okamoto, K. Ochiai, T. Takagi, and Y. Nakamura. 2000. Identification by cDNA microarray of genes involved in ovarian carcinogenesis. Cancer Res. 60:5007-5011.
35. Schwartz, D.R., S.L. Kardia, K.A. Shedden, R. Kuick, G. Michailidis, J.M. Taylor, D.E. Misek, R. Wu, et al. 2002. Gene expression in ovarian cancer reflects both morphology and biological behavior, distinguishing clear cell from other poor-prognosis ovarian carcinomas. Cancer Res. 62:4722-4729.
36. Perou, C.M., T. Sorlie, M.B. Eisen, M. van de Rijn, S.S. Jeffrey, C.A. Rees, J.R. Pollack, D.T. Ross, et al. 2000. Molecular portraits of human breast tumours. Nature 406:747-752.
37. Sorlie, T., C.M. Perou, R. Tibshirani, T. Aas, S. Geisler, H. Johnsen, T. Hastie, M.B. Eisen, et al. 2001. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc. Natl. Acad. Sci. USA 98:10869-10874.
38. Celis, J.E., M. Kruhoffer, I. Gromova, C. Federiksen, M. Ostergaard, T. Thykjaer, P. Gromov, J. Yu, et al. 2000. Gene expression profiling: monitoring transcription and translation products using DNA microarrays and protoemics. FEBS Lett. 480:2-16.
39. Bhattacharjee, A., W.G. Richards, J. Staunton, C. Li, S. Monti, P. Vasa, C. Ladd, J. Beheshti, et al. 2001. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proc Natl. Acad. Sci. USA 98:13790-13795.
40. Garber, M.E., O.G. Troyanskaya, K. Schluens, S. Petersen, Z. Thaesler, M. Pacyna-Gengelbach, M. van de Rijn, G.D. Rosen, et al. 2001. Diversity of gene expression in adenocarcinoma of the lung. Proc. Natl. Acad. Sci. USA 98:13784-13789.
41. Dhanasekaran, S.M., T.R. Barrette, D. Ghosh, R. Shah, S. Varambally, K. Kurachi, K.J. Pienta, M.A. Rubin, and A.M. Chinnaiyan. 2001. Delineation of prognostic biomarkers in prostate cancer. Nature 412:822-826.
42. Ismail, R.S., R.L. Baldwin, J. Fang, D. Browning, B.Y. Karlan, J.C. Gasson, and D.D. Chang. 2000. Differential gene expression between normal and tumor-derived ovarian epithelial cells. Cancer Res. 60:6744-6749.
43. Mok, S.C., J. Chao, S. Skates, K. Wong, G.K. Yiu, M.G. Muto, R.S. Berkowitz, and D.W. Cramer. 2001. Prostasin, a potential serum marker for ovarian cancer: identification through microarray technology. J. Natl. Cancer Inst. 93:1458-1464.
44. Sawiris, G.P., C.A. Sherman-Baust, K.G. Becker, C. Cheadle, D. Teichberg, and P.J. Morin. 2002. Development of a highly specialized cDNA array for the study and diagnosis of epithelial ovarian cancer. Cancer Res. 62:2923-2928.
45. Shridhar, V., J. Lee, A. Pandita, S. Iturria, R. Avula, J. Staub, M. Morrissey, E. Calhoun, et al. 2001. Genetic analysis of early- versus late-stage ovarian tumors. Cancer Res. 61:5895-5904.
46. Shridhar, V., A. Sen, J. Chien, J. Staub, R. Avula, S. Kovats, J. Lee, J. Lillie, and D.I. Smith. 2002. Identification of underexpressed genes in early- and late-stage primary ovarian tumors by suppression subtraction hybridization. Cancer Res. 62:262-270.
47. Welsh, J.B., P.P. Zarrinkar, L.M. Sapinoso, S.G. Kern, C.A. Behling, B.J. Monk, D.J. Lockhart, R.A. Burger, and G.M. Hampton. 2001 Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer. Proc. Natl. Acad. Sci. USA 98:1176-1181.
48. Wong, K.-K., R.S. Cheng, R.S. Berkowitz, and S.C. Mok. 2002. Gene expression analysis of ovarian cancer cells by cNDA microarrays, p. 127-138. In J.A. Warrington, C.R. Todd, and D. Wong (Eds.), Microarrays and Cancer Research. Eaton Publishing, Westborough, MA.
49. Alevizos, I., M. Mahadevappa, X. Zhang, H. Ohyama, Y. Kohno, M. Posner, G.T. Gallagher, M. Varvares, et al. 2001. Oral cancer in vivo gene expression profiling assisted by laser capture microdissection and microarray analysis. Oncogene 20:6196-6204.
50. Todd, R., J.S. Gutkind, E.J. Shillitoe, and D. Wong. 2002. Solid tumors: microarray analysis of oral cancers, p. 139-153. In J.A. Warrington, C.R. Todd, and D. Wong (Eds.), Microarrays and Cancer Research. Eaton Publishing, Westborough, MA.
51. Du, F., M. Mahadevappa, J.A. Warrington, and A.M. Bowcock, 2002. Gene expression changes in endometrial cancer, p. 113-125. In J.A. Warrington, C.R. Todd, and D. Wong, (Eds.), Microarrays and Cancer Research. Eaton Publishing, Westborough, MA.
52. Clark, E.A., T.R. Golub, E.S. Lander, and R.O. Hynes. 2000. Genomic analysis of metastasis reveals an essential role for RhoC. Nature 406:532-535.
53. Hegde, P., R. Qi, R. Gaspard, K. Abernathy, S. Dharap, J. Earle-Hughes, C. Gay, N.U. Nwokekeh, et al. 2001. Identification of tumor markers in models of human colorectal cancer using a 19,200-element complementary DNA microarray. Cancer Res. 61:7792-7797.
54. Notterman, D.A., C.J. Shawber, and A.J. Levine. 2002. Tumor biology and microarray analysis of solid rumors: colorectal cancer as a model system, p. 81-111. In J.A. Warrington, C.R. Todd, and D. Wong (Eds.), Microarrays and Cancer Research. Eaton Publishing, Westborough, MA.
55. Paweletz, C.P. and L.A. Liotta. 2002. Tumor classification: gene analysis using DNA microarrays, p. 61-77. In J.A. Warrington, C.R. Todd, and D. Wong (Eds.), Microarrays and Cancer Research. Eaton Publishing, Westborough, MA.
56. Bayani, J., J.D. Brenton, P.F. Macgregor, B. Beheshti, M. Albert, D. Nallainathan, J. Karaskova, B. Rosen, et al. 2002. Parallel analysis of sporadic primary ovarian carcinomas by spectral karyotyping, comparative genomic hybridization, and expression microarrays. Cancer Res. 62:3466-3476.
57. Barlund, M., F. Forozan, J. Kononen, L. Bubendorf, Y. Chen, M.L. Bittner, J. Torhorst, P. Haas, et al. 2000. Detecting activation of ribosomal protein S6 kinase by complementary DNA and tissue microarray analysis. J. Natl. Cancer Inst. 92:1252-1259.
58. Monni, O., M. Barlund, S. Mousses, J. Kononen, G. Sauter, M. Heiskanen, P. Paavola, K. Avela, et al. 2001. Comprehensive copy number and gene expression profiling of the 17q23 amplicon in human breast cancer. Proc. Natl. Acad. Sci. USA 98:5711-5716.
59. Carson, D.A. and A. Lois. 1995. Cancer progression and p53. Lancet 346:1009-1011.
60. Fisher, D.E. 2001. The p53 tumor suppressor: critical regulator of life and death in cancer. Apoptosis 6:7-15.
61. Harris, C.C. 1996. Structure and function of the p53 tumor suppressor gene: clues for rational cancer therapeutic strategies. J. Natl. Cancer Inst. 88:1442-1455.
62. Hirota, S. 2001. Gastrointestinal stromal tumors: their origin and cause. Int. J. Clin. Oncol. 6:1-5.
63. Hirota, S., K. Isozaki, Y. Moriyama, K. Hashimoto, T. Nishida, S. Ishiguro, K. Kawano, M. Hanada, et al. 1998. Gain-of-function mutations of ckit in human gastrointestinal stromal tumors. Science 279:577-580.
64. Pelengaris, S., M. Khan, and G. Evan. 2002. c-MYC: more than just a matter of life and death. Nat. Rev. Cancer 2:764-776.
65. Knudson, A.G. 1971. Mutation and cancer: statistical study of retinoblastoma. Proc. Natl. Acad. Sci. USA 68:820-823.
66. Grady, W.M. and S.D. Markowitz. 2002. Genetic and epigenetic alterations in colon cancer. Annu. Rev. Genomics Hum. Genet. 3:101-128.
67. Alizadeh, A.A., M.B. Eisen, R.E. Davis, C. Ma, I.S. Lossos, A. Rosenwald, J.C. Boldrick, H. Sabet, et al. 2000. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403:503-511.
68. Ross, D.T., U. Scherf, M.B. Eisen, C.M. Perou, C. Rees, P. Spellman, V. Iyer, S.S. Jeffrey, et al. 2000. Systematic variation in gene expression patterns in human cancer cell lines. Nat. Genet. 24:227-235.
69. Eisen, M.B., P.T. Spellman, P.O. Brown, and D. Botstein. 1998. Cluster analysis and display of genome-wide expression patterns. Proc. Natl. Acad. Sci. USA 95:14863-14868.
70. Getz, G., E. Levine, and E. Domany. 2000. Coupled two-way clustering analysis of gene microarray data. Proc. Natl. Acad. Sci. USA 97:12079-12084.
71. Lukashin, A.V. and R. Fuchs. 2001. Analysis of temporal gene expression profiles: clustering by simulated annealing and determining the optimal number of clusters. Bioinformatics 17:405-414.
72. Kerr, M.K. and G.A. Churchill. 2001. Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments. Proc. Natl. Acad. Sci. USA 98:8961-8965.
73. Yeung, K.Y., D.R. Haynor, and W.L. Ruzzo. 2001. Validating clustering for gene expression data. Bioinformatics 17:309-318.
74. Heyer, L.J., S. Kruglyak, and S. Yooseph. 1999. Exploring expression data: identification and analysis of coexpressed genes. Genome Res. 9.1106-1115.
75. Alter, O., P.O. Brown, and D. Botstein. 2000. Singular value decomposition for genome-wide expression data processing and modeling. Proc. Natl. Acad. Sci. USA 97:10101-10106.
76. Futschik, M.E. and N.K. Kasabov. 2002. Fuzzy clusrering of gene expression data, p. 414-419. 2002 IEEE International Conference on Fuzzy Systems. IEEE, Honolulu, HI.
77. Gasch, A.P. and M.B. Eisen. 2002. Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering. Genome Biol. 3:RESEARCH0059.
78. Tamayo, P., D. Slonim, J. Mesirov, Q. Zhu, S. Kitareewan, E. Dmitrovsky, E.S. Lander, and T.R. Golub. 1999. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. Proc. Natl. Acad. Sci. USA 96:2907-2912.
79. Khan, J., J.S. Wei, M. Ringner, L.H. Saal, M. Ladanyi, F. Westermann, F. Berthold, M. Schwab, et al. 2001. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med. 7:673-679.
80. Brown, M.P., W.N. Grundy, D. Lin, N. Cristianini, C.W. Sugnet, T.S. Furey, M. Ares, Jr., and D. Haussler. 2000. Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc. Natl. Acad. Sci. USA 197:262-267.
81. Jajuga, K., A. Sokolowski, and H.-H. Bock. 2002. Classification, Clustering, and Data Analysis. Springer-Verlag, New York.
82. Kaufman, L. and P.J. Rousseeuw. 1990. Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York.
83. Soukas, A., P. Cohen, N.D. Socci, and J.M. Friedman. 2000. Leptin-specific patterns ofgene expression in white adipose tissue. Genes Dev. 14:963-980.
84. Soukas, A., N.D. Socci, B.D. Saatkamp, S. Novelli, and J.M. Friedman. 2001. Distinct transcriptional profiles of adipogenesis in vivo and in vitro. J. Biol. Chem. 276:34167-34174.
85. Geman, S. and D. Geman. 1984. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence PAM1-6:721-741.
86. Kerr, M.K., C.A. Afshari, L. Bennett, P. Bushel, J. Martinez, N.J. Walker, and G.A. Churchill. 2002. Statistical analysis of a gene expression microarray experiment with replication. Statistica Sinica 12:203-218.
87. Moloshok, T.D., R.R. Klevecz, J.D. Grant, F.J. Manion, W.I. Speier, and M.F. Ochs. 2002. Application of Bayesian decomposition for analysing microarray data. Bioinformatics 18:566-575.
88. Parmigiani, G., E. Garrett, R. Anbazhagan, and E. Gabrielson. 2002. A statistical framework for expression-based molecular classification in cancer. J. R. Statistical Soc. [B] 64:717-736.
89. Gilman, A. and A.P. Arkin. 2002. Genetic "code": representations and dynamical models of genetic components and networks. Annu. Rev. Genomics Hum. Genet. 3:341-369.
90. Kaufman, S. 1993. The Origins of Order: Self-Organizatin and Selection in Evolution. Oxford University Press, Oxford.
91. Hartemink, A.J., D.K. Gifford, T.S. Jaakkola, and R.A. Young. 2001. Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks. Pac. Symp. Biocomput. 422-433.
92. Tanaka, H., H. Arakawa, T. Yamaguchi, K. Shiraishi, S. Fukuda, K. Matsui, Y. Takei, and Y. Nakamura. 2000. A ribonucleotide reductase gene involved in a p53-dependent cell-cycle checkpoint for DNA damage. Nature 404:42-49.
93. Yu, J., L. Zhang, P.M. Hwang, C. Rago, K.W. Kinzler, and B. Vogelstein. 1999. Identification and classification of p53-regulated genes. Proc. Natl. Acad. Sci. USA 96:14517-14522.
94. Harkin, D.P. 2000. Uncovering functionally relevant signaling pathways using microarray-based expression profiling. Oncologist 5:501-507.
95. Sibisi, S. and J. Skilling. 1997. Prior distributions on measure space. J. Royal Statistical Soc. [B] 59:217-235.
96. Cho, R.J., M.J. Campbell, E.A. Winzeler, L. Steinmetz, A. Conway, L. Wodicka, T.G. Wolfsberg, A.E. Gabrielian, et al. 1998. A genome-wide transcriptional analysis of the mitotic cell cycle. Mol. Cell 2:65-73.
97. Spellman, P.T., G. Sherlock, M.Q. Zhang, V.R. Iyer, K. Anders, M.B. Eisen, P.O. Brown, D. Botstein, and B. Futcher. 1998. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. Mol. Biol. Cell 9:3273-3297.
98. Bidaut, G., T.D. Moloshok, J.D. Grant, F.J. Manion, and M.F. Ochs. 2002. Bayesian Decomposition analysis of gene expression in yeast deletion mutants, p. 105-122. In K. Johnson and S. Lin (Eds.), Methods of Microarray Data Analysis II. Kluwer Academic, Boston.
99. Hughes, T.R., M.J. Marton, A.R. Jones, C.J. Roberts, R. Stoughton, C.D. Armour, H.A. Bennett, E. Coffey, et al. 2000. Functional discovery via a compendium of expression profiles. Cell 102:109-126.
100. Moloshok, T.D., D. Datta, A.V. Kossenkov, and M.F. Ochs. Bayesian decomposition classification of the project normal data set. In K. Johnson and S. Lin (Eds.), Methods of Microarray Data Analysis III. Kluwer Academic, Boston. (In press.)
101. Pritchard, C.C., L. Hsu, J. Delrow, and P.S. Nelson. 2001. Project normal: defining normal variance in mouse gene expression. Proc. Natl. Acad. Sci. USA 98:13266-13271.