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- Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data (1 revision)
- Distribution-based comprehensive evaluation of methods for differential expression analysis in metatranscriptomics (1 revision)
- Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening (1 revision)
- Testing structural identifiability by a simple scaling method (2 revisions)
- Comparison of peak‐picking workflows for untargeted liquid chromatography/high‐resolution mass spectrometry metabolomics data analysis (2 revisions)
- Efficient computation of steady states in large-scale ODE models of biochemical reaction networks (2 revisions)
- Predicting Breast Cancer Survivability Using Data Mining Techniques (2 revisions)
- The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments (2 revisions)
- Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data (2 revisions)
- Efficient parameterization of large-scale dynamic models based on relative measurements (2 revisions)
- NOREVA: normalization and evaluation of MS-based metabolomics data (2 revisions)
- Normalization regarding non-random missing values in high-throughput mass spectrometry data (2 revisions)
- NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis (2 revisions)
- OpenMS: a flexible open-source software platform for mass spectrometry data analysis (2 revisions)
- Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes (2 revisions)
- Project Imputation in Proteomics (2 revisions)
- Recursive partitioning for missing data imputation in the presence of interaction effects (2 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)
- 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)
- Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis (2 revisions)
- An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics (2 revisions)
- An improved algorithm for peak detection in mass spectra based on continuous wavelet transform (2 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)
- 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)
- Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data (4 revisions)
- Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach (4 revisions)
- Main Page (4 revisions - redirect page)
- 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)
- Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems (5 revisions)
- Project 20 Benchmark Problems for Modelling Intracellular Processes (6 revisions)
- Getting started with MediaWiki (6 revisions)
- Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology (9 revisions)
- Benchmarking Studies in Computational Biology (9 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)
- Benchmarking Projects (10 revisions)
- Guidelines for Summarizing a Literature Study (10 revisions)