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 45 results in range #21 to #65.
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- Comparison of Affymetrix data normalization methods using 6,926 experiments across five array generations (1 link)
- Comparison of Computational Methods for Imputing Single-Cell RNA-Sequencing Data (1 link)
- Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study (1 link)
- Comparison of background correction and normalization procedures for high-density oligonucleotide microarrays (1 link)
- Comparison of imputation methods for missing laboratory data in medicine (1 link)
- Comparison of methods for imputing limited-range variables: a simulation study (1 link)
- Comparison of preprocessing methods for the hgU133+2 chip from Affymetrix (1 link)
- Consistency of predictive signature genes and classifiers generated using different microarray platforms (1 link)
- De novo identification of differentially methylated regions in the human genome (1 link)
- Detecting and correcting systematic variation in large-scale RNA sequencing data (1 link)
- Evaluating the Performance of the Generalized Linear Model (glm) R Package Using Single-Cell RNA-Sequencing Data (1 link)
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (1 link)
- Gap-filling a spatially explicit plant trait database: comparing imputation methods and different levels of environmental information (1 link)
- Identification of Differentially Methylated Sites with Weak Methylation Effects (1 link)
- Identification of differentially expressed peptides in high-throughput proteomics data (1 link)
- Imputation of missing longitudinal data: a comparison of methods (1 link)
- Imputing Missing Data for Gene Expression Arrays (1 link)
- In-depth method assessments of differentially expressed protein detection for shotgun proteomics data with missing values (1 link)
- Iterative stepwise regression imputation using standard and robust methods (1 link)
- MethylAction: detecting differentially methylated regions that distinguish biological subtypes (1 link)
- Metilene: Fast and sensitive calling of differentially methylated regions from bisulfite sequencing data (1 link)
- MissForest—non-parametric missing value imputation for mixed-type data (1 link)
- Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data (1 link)
- Multiple imputation and analysis for high-dimensional incomplete proteomics data (1 link)
- Nonlinear PCA: a missing data approach (1 link)
- Normalization of RNA-seq data using factor analysis of control genes or samples (1 link)
- Normalyzer: A Tool for Rapid Evaluation of Normalization Methods for Omics Data Sets (1 link)
- ODE parameter inference using adaptive gradient matching with Gaussian processes (1 link)
- On the Relationship Between Feature Selection and Classification Accuracy (1 link)
- Optimization of high dimensionsional ODEs (1 link)
- Partially parametric techniques for multiple imputation (1 link)
- PcaMethods—a bioconductor package providing PCA methods for incomplete data (1 link)
- Power analysis and sample size estimation for RNA-Seq differential expression (1 link)
- Rat toxicogenomic study reveals analytical consistency across microarray platforms (1 link)
- ScGAIN: Single Cell RNA-seq Data Imputation using Generative Adversarial Networks (1 link)
- Seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data (1 link)
- Sequential imputation for missing values (1 link)
- Statistical methods for detecting differentially methylated regions based on MethylCap-seq data (1 link)
- Strategies for analyzing bisulfite sequencing data (1 link)
- Template Title (1 link)
- The MaxQuant computational platform for mass spectrometry–based shotgun proteomics (1 link)
- The case for well-conducted experiments to validate statistical protocols for 2D gels: different pre-processing = different lists of significant proteins (1 link)
- Tuning multiple imputation by predictive mean matching and local residual draws (1 link)
- Using RNA sample titrations to assess microarray platform performance and normalization techniques (1 link)
- Ways to Fit a PK Model with Some Data Below the Quantification Limit (1 link)
