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Showing below up to 50 results in range #51 to #100.

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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
71. MetaboAnalyst: a web server for metabolomic data analysis and interpretation
72. MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv)
73. Microbiome differential abundance methods produce different results across 38 datasets
74. Mini-batch optimization enables training of ODE models on large-scale datasets
75. Missing value estimation methods for DNA microarrays
76. Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline
77. Mockrobiota: a public resource for microbiome bioinformatics benchmarking
78. NOREVA: normalization and evaluation of MS-based metabolomics data
79. Normalization regarding non-random missing values in high-throughput mass spectrometry data
80. NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis
81. OpenMS: a flexible open-source software platform for mass spectrometry data analysis
82. Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis
83. Optimization and uncertainty analysis of ODE models using second order adjoint sensitivity analysis
84. Optimization of miRNA-seq data preprocessing
85. Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach
86. Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy
87. Parameter estimation in models of biological oscillators: an automated regularised estimation approach
88. Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis
89. Peak alignment using wavelet pattern matching and differential evolution
90. Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms
91. Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis
92. Performance of objective functions and optimization procedures for parameter estimation in system biology models
93. Predicting Breast Cancer Survivability Using Data Mining Techniques
94. Preprocessing of tandem mass spectrometric data to support automatic protein identification
95. Prevention, diagnosis and treatment of high-throughput sequencing data pathologies
96. Project 20 Benchmark Problems for Modelling Intracellular Processes
97. Project Imputation in Proteomics
98. Recursive partitioning for missing data imputation in the presence of interaction effects
99. Recursive partitioning for missing data imputation in the presence of interaction effects.
100. Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics

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