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

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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. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ
  6. An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics
  7. An improved algorithm for peak detection in mass spectra based on continuous wavelet transform
  8. Benchmark problems for dynamic modeling of intracellular processes
  9. Benchmarking Quantitative Performance in Label-Free Proteomics
  10. Benchmarking optimization methods for parameter estimation in large kinetic models
  11. Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery
  12. Chemometric methods in data processing of mass spectrometry-based metabolomics: A review
  13. Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery
  14. Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16
  15. Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
  16. Comparison of peak‐picking workflows for untargeted liquid chromatography/high‐resolution mass spectrometry metabolomics data analysis
  17. Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
  18. Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems
  19. Comprehensive evaluation of untargeted metabolomics data processing software in feature detection, quantification and discriminating marker selection
  20. Concepts for Bechmarking Studies:
  21. DMR Calling from BSSEQ:
  22. DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts
  23. DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data
  24. Data-driven normalization strategies for high-throughput quantitative RT-PCR
  25. Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
  26. Data processing has major impact on the outcome of quantitative label-free LC-MS analysis
  27. Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus
  28. Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions
  29. Efficient computation of steady states in large-scale ODE models of biochemical reaction networks
  30. Efficient parameterization of large-scale dynamic models based on relative measurements
  31. Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
  32. Evaluation of preprocessing, mapping and postprocessing algorithms for analyzing whole genome bisulfite sequencing data
  33. Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data
  34. Fast derivatives of likelihood functionals for ODE based models using adjoint-state method
  35. Funding
  36. Gene set analysis methods: a systematic comparison
  37. Guidelines for Summarizing a Literature Study
  38. Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening
  39. Identifying and quantifying metabolites by scoring peaks of GC-MS data
  40. Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes
  41. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
  42. Lessons Learned from Quantitative Dynamical Modeling in Systems Biology
  43. MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid
  44. Machine learning methods for predictive proteomics
  45. MeltDB: a software platform for the analysis and integration of metabolomics experiment data
  46. MetaboAnalyst: a web server for metabolomic data analysis and interpretation
  47. MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv)
  48. Mini-batch optimization enables training of ODE models on large-scale datasets
  49. Missing value estimation methods for DNA microarrays
  50. Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline

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