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Showing below up to 50 results in range #21 to #70.

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21. Benchmarking of 16S rRNA gene databases using known strain sequences
22. Benchmarking optimization methods for parameter estimation in large kinetic models
23. Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery
24. Catalyst: Fast and flexible modeling of reaction networks
25. Chemometric methods in data processing of mass spectrometry-based metabolomics: A review
26. Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery
27. Comparative study of classifiers for human microbiome data
28. Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16
29. Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
30. Comparison of peak‐picking workflows for untargeted liquid chromatography/high‐resolution mass spectrometry metabolomics data analysis
31. Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
32. Comprehensive benchmarking and ensemble approaches for metagenomic classifiers
33. Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems
34. Comprehensive evaluation of untargeted metabolomics data processing software in feature detection, quantification and discriminating marker selection
35. Concepts for Bechmarking Studies:
36. DMR Calling from BSSEQ:
37. DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts
38. DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data
39. Data-driven normalization strategies for high-throughput quantitative RT-PCR
40. Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
41. Data processing has major impact on the outcome of quantitative label-free LC-MS analysis
42. Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus
43. Denoising the Denoisers: an independent evaluation of microbiome sequence error-correction approaches
44. Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions
45. Distribution-based comprehensive evaluation of methods for differential expression analysis in metatranscriptomics
46. Efficient computation of steady states in large-scale ODE models of biochemical reaction networks
47. Efficient parameterization of large-scale dynamic models based on relative measurements
48. Evaluating supervised and unsupervised background noise correction in human gut microbiome data
49. Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
50. Evaluation of preprocessing, mapping and postprocessing algorithms for analyzing whole genome bisulfite sequencing data
51. Evaluation of the microba community profiler for taxonomic profiling of metagenomic datasets from the human gut microbiome
52. Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data
53. Fast derivatives of likelihood functionals for ODE based models using adjoint-state method
54. Funding
55. Gene set analysis methods: a systematic comparison
56. Getting started with MediaWiki
57. Guidelines for Summarizing a Literature Study
58. Help
59. Hierarchical optimization for the efficient parametrization of ODE models
60. Hybrid optimization method with general switching strategy for parameter estimation
61. Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening
62. Identifying and quantifying metabolites by scoring peaks of GC-MS data
63. Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes
64. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
65. LEMMI: a continuous benchmarking platform for metagenomics classifiers
66. Lessons Learned from Quantitative Dynamical Modeling in Systems Biology
67. Literature Studies
68. MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid
69. Machine learning methods for predictive proteomics
70. MeltDB: a software platform for the analysis and integration of metabolomics experiment data

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