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- 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
- Evaluation of the microba community profiler for taxonomic profiling of metagenomic datasets from the human gut microbiome
- Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data
- Fast derivatives of likelihood functionals for ODE based models using adjoint-state method
- Funding
- Gene set analysis methods: a systematic comparison
- Guidelines for Summarizing a Literature Study
- Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening
- Identifying and quantifying metabolites by scoring peaks of GC-MS data
- Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes
- Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
- LEMMI: a continuous benchmarking platform for metagenomics classifiers
- Lessons Learned from Quantitative Dynamical Modeling in Systems Biology
- MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid