Article thumbnail

Virtual CGH: an integrative approach to predict genetic abnormalities from gene expression microarray data applied in lymphoma

By Huimin Geng, Javeed Iqbal, Wing C Chan and Hesham H Ali
Topics: Research Article
Publisher: BioMed Central
OAI identifier: oai:pubmedcentral.nih.gov:3086850
Provided by: PubMed Central

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles

Citations

  1. (2000). al: Widespread aneuploidy revealed by DNA microarray expression profiling. Nature genetics
  2. (2004). AN: Hidden Markov Models Approach to the Analysis of Array CGH Data. J Multivariate Anal
  3. (1998). Biological sequence analysis: probabilistic models of proteins and necleic acids.
  4. (2004). Breakpoint identification and smoothing of array comparative genomic hybridization data. Bioinformatics
  5. (1993). Cremer T: Detection of complete and partial chromosome gains and losses by comparative genomic in situ hybridization. Human genetics
  6. (2001). et al: Assembly of microarrays for genome-wide measurement of DNA copy number. Nature genetics
  7. (2005). et al: Diffuse large B-cell lymphoma subgroups have distinct genetic profiles that influence tumor biology and improve geneexpression-based survival prediction. Blood
  8. (2000). et al: Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature
  9. (2009). et al: Genomic analyses reveal global functional alterations that promote tumor growth and novel tumor suppressor genes in natural killer-cell malignancies. Leukemia
  10. (1998). et al: High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays. Nature genetics
  11. (2002). et al: Identification of amplified and expressed genes in breast cancer by comparative hybridization onto microarrays of randomly selected cDNA clones. Genes, chromosomes & cancer
  12. (2002). et al: Impact of DNA amplification on gene expression patterns in breast cancer. Cancer Res
  13. (2005). et al: Integrated array-comparative genomic hybridization and expression array profiles identify clinically relevant molecular subtypes of glioblastoma. Cancer Res
  14. (2005). et al: Molecular profiling of diffuse large B-cell lymphoma identifies robust subtypes including one characterized by host inflammatory response. Blood
  15. (2008). et al: Molecular subtypes of diffuse large Bcell lymphoma arise by distinct genetic pathways.
  16. (2007). et al: Specific secondary genetic alterations in mantle cell lymphoma provide prognostic information independent of the gene expression-based proliferation signature.
  17. (2002). et al: Targets of gene amplification and overexpression at 17q in gastric cancer. Cancer Res
  18. (2001). et al: The consequences of chromosomal aneuploidy on gene expression profiles in a cell line model for prostate carcinogenesis. Cancer Res
  19. (1999). et al: The lymphochip: a specialized cDNA microarray for the genomic-scale analysis of gene expression in normal and malignant lymphocytes. Cold Spring Harb Symp Quant Biol
  20. (2002). et al: The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. The New England journal of medicine
  21. Expression Omnibus,
  22. (2001). Expression profiling reveals fundamental biological differences in acute myeloid leukemia with isolated trisomy 8 and normal cytogenetics.
  23. (2008). Fioretos T: An improved method for detecting and delineating genomic regions with altered gene expression in cancer. Genome Biol
  24. (2003). Gene expression patterns and gene copy number changes in dermatofibrosarcoma protuberans. The American journal of pathology
  25. (1999). Genetic instability and darwinian selection in tumours. Trends Cell Biol
  26. (2009). HH: A Computational Method to Predict DNA Copy Number Alterations from Gene Expression Data in Tumor Cases.
  27. (2007). Izraeli S: Prediction of chromosomal aneuploidy from gene expression data. Genes, chromosomes & cancer
  28. (1988). JL: Genetic alterations during colorectal-tumor development. The New England journal of medicine
  29. (2004). Kinzler KW: Cancer genes and the pathways they control. Nature medicine
  30. (1997). Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances. Genes, chromosomes & cancer
  31. (2002). Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors.
  32. (1992). Pinkel D: Comparative genomic hybridization for molecular cytogenetic analysis of solid tumors. Science
  33. (1999). PO: Genome-wide analysis of DNA copy-number changes using cDNA microarrays. Nature genetics
  34. (2006). Tavare S: BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data. Bioinformatics
  35. Virtual CGH: Prediction of Novel Regions of Chromosomal Alterations
  36. (2008). WC: A Hidden Markov Model Approach for Prediction of Genomic Alterations from Gene Expression Profiling.