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  1. A comparative study of evaluating missing value imputation methods in label-free proteomics
  2. A comparison of methods for quantifying prediction uncertainty in systems biology
  3. A general modular framework for gene set enrichment analysis
  4. A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data
  5. Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies
  6. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ
  7. An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics
  8. An improved algorithm for peak detection in mass spectra based on continuous wavelet transform
  9. Benchmark problems for dynamic modeling of intracellular processes
  10. Benchmarking Projects
  11. Benchmarking Quantitative Performance in Label-Free Proteomics
  12. Benchmarking Studies in Computational Biology
  13. Benchmarking optimization methods for parameter estimation in large kinetic models
  14. Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery
  15. Chemometric methods in data processing of mass spectrometry-based metabolomics: A review
  16. Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery
  17. Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16
  18. Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
  19. Comparison of peak‐picking workflows for untargeted liquid chromatography/high‐resolution mass spectrometry metabolomics data analysis
  20. Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data

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