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Showing below up to 42 results in range #71 to #112.

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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
81. Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis
82. Optimization and uncertainty analysis of ODE models using second order adjoint sensitivity analysis
83. Optimization of miRNA-seq data preprocessing
84. Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach
85. Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy
86. Parameter estimation in models of biological oscillators: an automated regularised estimation approach
87. Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis
88. Peak alignment using wavelet pattern matching and differential evolution
89. Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms
90. Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis
91. Performance of objective functions and optimization procedures for parameter estimation in system biology models
92. Predicting Breast Cancer Survivability Using Data Mining Techniques
93. Preprocessing of tandem mass spectrometric data to support automatic protein identification
94. Prevention, diagnosis and treatment of high-throughput sequencing data pathologies
95. Project 20 Benchmark Problems for Modelling Intracellular Processes
96. Project Imputation in Proteomics
97. Recursive partitioning for missing data imputation in the presence of interaction effects
98. Recursive partitioning for missing data imputation in the presence of interaction effects.
99. Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics
100. Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics.
101. Robust calibration of hierarchical population models for heterogeneous cell populations
102. Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks
103. Simultaneous Improvement in the Precision, Accuracy and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains
104. Software platform for high-throughput glycomics
105. TEMPLATE
106. Test title
107. Testing structural identifiability by a simple scaling method
108. The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments
109. The impact of sample imbalance on identifying differentially expressed genes
110. Toward a gold standard for benchmarking gene set enrichment analysis
111. Tracking for parameter and state estimation in possibly misspecified partially observed linear Ordinary Differential Equations
112. Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes

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