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Showing below up to 50 results in range #31 to #80.

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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. Guidelines for Summarizing a Literature Study
57. Help
58. Hierarchical optimization for the efficient parametrization of ODE models
59. Hybrid optimization method with general switching strategy for parameter estimation
60. Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening
61. Identifying and quantifying metabolites by scoring peaks of GC-MS data
62. Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes
63. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
64. LEMMI: a continuous benchmarking platform for metagenomics classifiers
65. Lessons Learned from Quantitative Dynamical Modeling in Systems Biology
66. Literature Studies
67. MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid
68. Machine learning methods for predictive proteomics
69. MeltDB: a software platform for the analysis and integration of metabolomics experiment data
70. MetaboAnalyst: a web server for metabolomic data analysis and interpretation
71. MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv)
72. Microbiome differential abundance methods produce different results across 38 datasets
73. Mini-batch optimization enables training of ODE models on large-scale datasets
74. Missing value estimation methods for DNA microarrays
75. Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline
76. Mockrobiota: a public resource for microbiome bioinformatics benchmarking
77. NOREVA: normalization and evaluation of MS-based metabolomics data
78. Normalization regarding non-random missing values in high-throughput mass spectrometry data
79. NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis
80. OpenMS: a flexible open-source software platform for mass spectrometry data analysis

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