Article thumbnail

How to Improve Postgenomic Knowledge Discovery Using Imputation

By Muhammad Shoaib B Sehgal, Iqbal Gondal, Laurence S Dooley and Ross Coppel
Topics: Research Article
Publisher: BioMed Central
OAI identifier: oai:pubmedcentral.nih.gov:3171441
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. (2003). A Bayesian missing value estimation method for gene expression profile data,”
  2. (2007). A meta-data based method for DNA microarray imputation,”
  3. (2007). A multi-stage approach to clustering and imputation of gene expression profiles,”
  4. (2004). a n s e n ,J .S .E .L a v e n ,H .B .R .D o m m e r h o l t ,e ta l . , “Abnormal gene expression profiles in human ovaries from polycystic ovary syndrome patients,”
  5. (2006). A simple recipe for drug interaction networks earns its stars,”
  6. (2003). A smooth response surface algorithm for constructing a gene regulatory network,”
  7. (2003). Alarming increase in cancer rates,”
  8. (2001). Application of supervised machine learning toidentifygenesassociatedwiththehypoxiaresponse,”Nature
  9. (2006). ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context,”
  10. (2002). Bayesian Networks and Decision Graphs,
  11. (2005). C h o i ,U .Y u ,O .J .Y o o ,a n dS .K i m ,“ D i fferential coexpression analysis using microarray data and its application to human cancer,”
  12. (2005). Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data,”
  13. (2002). Comparison of discrimination methods for the classification of tumors using gene expression data,”
  14. (1999). Desmosomal plakophilin 2 as a differentiation marker in normal and malignant tissues,”
  15. (2005). DNA microarray data imputation and significance analysis of differential expression,”
  16. (2006). E .H a rv e l l ,J .K .R i c h e r ,D .C .A l l r e d ,C .A .S a rt o ri u s ,a n d
  17. (2001). Fundamentals of Modern Statistical
  18. (2004). Gaussian mixture clustering and imputation of microarray data,”
  19. (2002). Gene expression profiles of BRCA1-linked, BRCA2-linked, and sporadic ovarian cancers,”
  20. (2001). Gene-expression profiles in hereditary breast cancer,”
  21. (2006). Heliconius wing patterns: an evo-devo model for understanding phenotypic diversity,” Heredity,v o l .9 7 ,n o .3 ,p p .
  22. (2008). Heuristic non parametric collateral missing value imputation: a step towards robust post-genomic knowledge discovery,”
  23. (2007). How to infer gene networks from expression profiles,”
  24. (2001). Identification of differentially expressed genes in breast cancer,”
  25. Improving cluster-based missing value estimation of DNA microarray data,”
  26. (2006). Improving missing value estimation in microarray data with gene ontology,”
  27. (2005). Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics,
  28. (2004). J.Ihmels,R.Levy,andN.Barkai,“Principlesoftranscriptional control in the metabolic network of Saccharomyces cerevisiae,”
  29. (2004). LSimpute: accurate estimation of missing values in microarray data with least squares methods,”
  30. (1993). M o o n e ya n dR .D .D u v a l ,Bootstrapping: A Nonparametric Approach to Statistical Inference,
  31. (2006). Microarray missing data imputation based on a set theoretic framework and biological knowledge,”
  32. (2001). Minimum information about a microarray experiment (MIAME)— toward standards for microarray data,”
  33. (2005). Missing value estimation for DNA microarray gene expression data: local least squares imputation,”
  34. (2001). Missing value estimation methods for
  35. (2005). Monte Carlo Statistical Methods,
  36. (2002). New feature subset selection procedures for classification of expression profiles,”
  37. (2006). Nucleosome positions predicted through comparative genomics,”
  38. (1996). Plakophilins 2a and 2b: constitutive proteins of dual location in the karyoplasm and the desmosomal plaque,” J o u r n a lo fC e l lB i o l o g y ,
  39. (1992). Probability via Expectation,
  40. (1996). Rapid direct determination of HLA− DQB1∗0301 in the whole blood of normal individuals and cancer patients by specific polymerase chain reaction amplification,”
  41. (2004). Reuse of imputed data in microarray analysis increases imputation efficiency,”
  42. (2005). Reverse engineering of regulatory networks
  43. (1995). Statistics as Principled Argument,
  44. (2000). Support vector machine classification and validation of cancer tissue samples using microarray expression data,”
  45. (2004). The treatment of missing values and its effect in the classifier accuracy,”