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- Literature Studies (232 revisions)
- A comparison of methods for quantifying prediction uncertainty in systems biology (48 revisions)
- DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts (22 revisions)
- Hierarchical optimization for the efficient parametrization of ODE models (22 revisions)
- Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis (22 revisions)
- Lessons Learned from Quantitative Dynamical Modeling in Systems Biology (20 revisions)
- Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies (19 revisions)
- Fast derivatives of likelihood functionals for ODE based models using adjoint-state method (17 revisions)
- Benchmarking optimization methods for parameter estimation in large kinetic models (16 revisions)
- Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16 (16 revisions)
- A general modular framework for gene set enrichment analysis (15 revisions)
- Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus (15 revisions)
- Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks (14 revisions)
- Performance of objective functions and optimization procedures for parameter estimation in system biology models (13 revisions)
- MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv) (12 revisions)
- Gene set analysis methods: a systematic comparison (11 revisions)
- Benchmark problems for dynamic modeling of intracellular processes (11 revisions)
- Guidelines for Summarizing a Literature Study (10 revisions)
- Benchmarking Projects (10 revisions)
- Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics. (9 revisions)
- Hybrid optimization method with general switching strategy for parameter estimation (9 revisions)
- Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology (9 revisions)
- Benchmarking Studies in Computational Biology (9 revisions)
- Getting started with MediaWiki (6 revisions)
- Project 20 Benchmark Problems for Modelling Intracellular Processes (6 revisions)
- Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems (5 revisions)
- Main Page (4 revisions - redirect page)
- Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach (4 revisions)
- Parameter estimation in models of biological oscillators: an automated regularised estimation approach (4 revisions)
- Mini-batch optimization enables training of ODE models on large-scale datasets (4 revisions)
- Missing value estimation methods for DNA microarrays (4 revisions)
- Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data (4 revisions)
- Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy (3 revisions)
- Chemometric methods in data processing of mass spectrometry-based metabolomics: A review (3 revisions)
- Help (3 revisions)
- Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline (3 revisions)
- Toward a gold standard for benchmarking gene set enrichment analysis (3 revisions)
- Tracking for parameter and state estimation in possibly misspecified partially observed linear Ordinary Differential Equations (3 revisions)
- A comparative study of evaluating missing value imputation methods in label-free proteomics (3 revisions)
- MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid (2 revisions)
- Recursive partitioning for missing data imputation in the presence of interaction effects (2 revisions)
- DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data (2 revisions)
- Machine learning methods for predictive proteomics (2 revisions)
- Recursive partitioning for missing data imputation in the presence of interaction effects. (2 revisions)
- Data-driven normalization strategies for high-throughput quantitative RT-PCR (2 revisions)
- Catalyst: Fast and flexible modeling of reaction networks (2 revisions)
- Data-driven reverse engineering of signaling pathways using ensembles of dynamic models (2 revisions)
- Robust calibration of hierarchical population models for heterogeneous cell populations (2 revisions)
- An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics (2 revisions)
- Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis (2 revisions)