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

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  1. A comparison of methods for quantifying prediction uncertainty in systems biology
  2. A general modular framework for gene set enrichment analysis
  3. A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data
  4. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ
  5. An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics
  6. An improved algorithm for peak detection in mass spectra based on continuous wavelet transform
  7. Benchmark problems for dynamic modeling of intracellular processes
  8. Benchmarking optimization methods for parameter estimation in large kinetic models
  9. Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery
  10. Chemometric methods in data processing of mass spectrometry-based metabolomics: A review
  11. Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery
  12. Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16
  13. Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
  14. Comparison of peak‐picking workflows for untargeted liquid chromatography/high‐resolution mass spectrometry metabolomics data analysis
  15. Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
  16. Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems
  17. Comprehensive evaluation of untargeted metabolomics data processing software in feature detection, quantification and discriminating marker selection
  18. Concepts for Bechmarking Studies:
  19. DMR Calling from BSSEQ:
  20. DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts
  21. DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data
  22. Data-driven normalization strategies for high-throughput quantitative RT-PCR
  23. Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
  24. Data processing has major impact on the outcome of quantitative label-free LC-MS analysis
  25. Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus
  26. Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions
  27. Efficient computation of steady states in large-scale ODE models of biochemical reaction networks
  28. Efficient parameterization of large-scale dynamic models based on relative measurements
  29. Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
  30. Evaluation of preprocessing, mapping and postprocessing algorithms for analyzing whole genome bisulfite sequencing data
  31. Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data
  32. Fast derivatives of likelihood functionals for ODE based models using adjoint-state method
  33. Funding
  34. Gene set analysis methods: a systematic comparison
  35. Guidelines for Summarizing a Literature Study
  36. Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening
  37. Identifying and quantifying metabolites by scoring peaks of GC-MS data
  38. Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes
  39. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
  40. Lessons Learned from Quantitative Dynamical Modeling in Systems Biology
  41. MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid
  42. Machine learning methods for predictive proteomics
  43. MeltDB: a software platform for the analysis and integration of metabolomics experiment data
  44. MetaboAnalyst: a web server for metabolomic data analysis and interpretation
  45. MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv)
  46. Mini-batch optimization enables training of ODE models on large-scale datasets
  47. Missing value estimation methods for DNA microarrays
  48. Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline
  49. NOREVA: normalization and evaluation of MS-based metabolomics data
  50. Normalization regarding non-random missing values in high-throughput mass spectrometry data

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