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Showing below up to 20 results in range #21 to #40.

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  1. Project 20 Benchmark Models‏‎ (1 revision - redirect page)
  2. Concepts for Bechmarking Studies:‏‎ (1 revision)
  3. Evaluation of the microba community profiler for taxonomic profiling of metagenomic datasets from the human gut microbiome‏‎ (1 revision)
  4. Benchmarking microbiome transformations favors experimental quantitative approaches to address compositionality and sampling depth biases‏‎ (1 revision)
  5. DMR Calling from BSSEQ:‏‎ (1 revision)
  6. A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling‏‎ (1 revision)
  7. Benchmarking of 16S rRNA gene databases using known strain sequences‏‎ (1 revision)
  8. Optimization and uncertainty analysis of ODE models using second order adjoint sensitivity analysis‏‎ (1 revision)
  9. Funding‏‎ (1 revision)
  10. Optimization of miRNA-seq data preprocessing‏‎ (1 revision)
  11. A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data‏‎ (1 revision)
  12. Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery‏‎ (1 revision)
  13. Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics‏‎ (1 revision)
  14. MeltDB: a software platform for the analysis and integration of metabolomics experiment data‏‎ (1 revision)
  15. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ‏‎ (1 revision)
  16. Data processing has major impact on the outcome of quantitative label-free LC-MS analysis‏‎ (1 revision)
  17. MetaboAnalyst: a web server for metabolomic data analysis and interpretation‏‎ (1 revision)
  18. Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery‏‎ (1 revision)
  19. Comparative study of classifiers for human microbiome data‏‎ (1 revision)
  20. Denoising the Denoisers: an independent evaluation of microbiome sequence error-correction approaches‏‎ (1 revision)

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