Wanted pages

List of non-existing pages with the most links to them, excluding pages which only have redirects linking to them. For a list of non-existent pages that have redirects linking to them, see the list of broken redirects.

Showing below up to 50 results in range #1 to #50.

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  1. A Bayesian missing value estimation method for gene expression profile data‏‎ (1 link)
  2. A Systematic Evaluation of Single CellRNA-Seq Analysis Pipelines‏‎ (1 link)
  3. A benchmarking of workflows for detecting differential splicing and differential expression at isoform level in human RNA-seq studies‏‎ (1 link)
  4. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias‏‎ (1 link)
  5. A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the sequencing Quality control consortium‏‎ (1 link)
  6. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis‏‎ (1 link)
  7. A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputation‏‎ (1 link)
  8. Accounting for undetected compounds in statistical analyses of mass spectrometry ‘omic studies‏‎ (1 link)
  9. Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ*‏‎ (1 link)
  10. Affymetrix GeneChip microarray preprocessing for multivariate analyses‏‎ (1 link)
  11. Assessment of maximum likelihood PCA missing data imputation‏‎ (1 link)
  12. Benchmarking workflows to assess performance and suitability of germline variant calling pipelines in clinical diagnostic assays‏‎ (1 link)
  13. Choice of library size normalization and statistical methods for differential gene expression analysis in balanced two-group comparisons for RNA-seq studies‏‎ (1 link)
  14. Clustering of CyTOF Data‏‎ (1 link)
  15. Comparing Variant Call Files for Performance Benchmarkingof Next-Generation Sequencing Variant Calling Pipelines‏‎ (1 link)
  16. Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data‏‎ (1 link)
  17. Comparison of Affymetrix GeneChip Expression Measures‏‎ (1 link)
  18. Comparison of Affymetrix data normalization methods using 6,926 experiments across five array generations‏‎ (1 link)
  19. Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study‏‎ (1 link)
  20. Comparison of background correction and normalization procedures for high-density oligonucleotide microarrays‏‎ (1 link)
  21. Comparison of imputation methods for missing laboratory data in medicine‏‎ (1 link)
  22. Comparison of methods for imputing limited-range variables: a simulation study‏‎ (1 link)
  23. Comparison of preprocessing methods for the hgU133+2 chip from Affymetrix‏‎ (1 link)
  24. Consistency of predictive signature genes and classifiers generated using different microarray platforms‏‎ (1 link)
  25. De novo identification of differentially methylated regions in the human genome‏‎ (1 link)
  26. Detecting and correcting systematic variation in large-scale RNA sequencing data‏‎ (1 link)
  27. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments‏‎ (1 link)
  28. Gap-filling a spatially explicit plant trait database: comparing imputation methods and different levels of environmental information‏‎ (1 link)
  29. Identification of Differentially Methylated Sites with Weak Methylation Effects‏‎ (1 link)
  30. Identification of differentially expressed peptides in high-throughput proteomics data‏‎ (1 link)
  31. Imputation of missing longitudinal data: a comparison of methods‏‎ (1 link)
  32. Imputing Missing Data for Gene Expression Arrays‏‎ (1 link)
  33. In-depth method assessments of differentially expressed protein detection for shotgun proteomics data with missing values‏‎ (1 link)
  34. Iterative stepwise regression imputation using standard and robust methods‏‎ (1 link)
  35. MethylAction: detecting differentially methylated regions that distinguish biological subtypes‏‎ (1 link)
  36. Metilene: Fast and sensitive calling of differentially methylated regions from bisulfite sequencing data‏‎ (1 link)
  37. MissForest—non-parametric missing value imputation for mixed-type data‏‎ (1 link)
  38. Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data‏‎ (1 link)
  39. Multiple imputation and analysis for high-dimensional incomplete proteomics data‏‎ (1 link)
  40. Nonlinear PCA: a missing data approach‏‎ (1 link)
  41. Normalization of RNA-seq data using factor analysis of control genes or samples‏‎ (1 link)
  42. Normalyzer: A Tool for Rapid Evaluation of Normalization Methods for Omics Data Sets‏‎ (1 link)
  43. ODE parameter inference using adaptive gradient matching with Gaussian processes‏‎ (1 link)
  44. On the Relationship Between Feature Selection and Classification Accuracy‏‎ (1 link)
  45. Optimization of high dimensionsional ODEs‏‎ (1 link)
  46. Partially parametric techniques for multiple imputation‏‎ (1 link)
  47. PcaMethods—a bioconductor package providing PCA methods for incomplete data‏‎ (1 link)
  48. Power analysis and sample size estimation for RNA-Seq differential expression‏‎ (1 link)
  49. Rat toxicogenomic study reveals analytical consistency across microarray platforms‏‎ (1 link)
  50. Seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data‏‎ (1 link)

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