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- Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
- Comprehensive benchmarking and ensemble approaches for metagenomic classifiers
- Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems
- Comprehensive evaluation of untargeted metabolomics data processing software in feature detection, quantification and discriminating marker selection
- Concepts for Bechmarking Studies:
- DMR Calling from BSSEQ:
- DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts
- DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data
- Data-driven normalization strategies for high-throughput quantitative RT-PCR
- Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
- Data processing has major impact on the outcome of quantitative label-free LC-MS analysis
- Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus
- Denoising the Denoisers: an independent evaluation of microbiome sequence error-correction approaches
- Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions
- Distribution-based comprehensive evaluation of methods for differential expression analysis in metatranscriptomics
- Efficient computation of steady states in large-scale ODE models of biochemical reaction networks
- Efficient parameterization of large-scale dynamic models based on relative measurements
- Evaluating supervised and unsupervised background noise correction in human gut microbiome data
- Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
- Evaluation of preprocessing, mapping and postprocessing algorithms for analyzing whole genome bisulfite sequencing data
