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  1. Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions
  2. Distribution-based comprehensive evaluation of methods for differential expression analysis in metatranscriptomics
  3. Efficient computation of steady states in large-scale ODE models of biochemical reaction networks
  4. Efficient parameterization of large-scale dynamic models based on relative measurements
  5. Evaluating supervised and unsupervised background noise correction in human gut microbiome data
  6. Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
  7. Evaluation of preprocessing, mapping and postprocessing algorithms for analyzing whole genome bisulfite sequencing data
  8. Evaluation of the microba community profiler for taxonomic profiling of metagenomic datasets from the human gut microbiome
  9. Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data
  10. Fast derivatives of likelihood functionals for ODE based models using adjoint-state method
  11. Funding
  12. Gene set analysis methods: a systematic comparison
  13. Guidelines for Summarizing a Literature Study
  14. Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening
  15. Identifying and quantifying metabolites by scoring peaks of GC-MS data
  16. Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes
  17. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
  18. LEMMI: a continuous benchmarking platform for metagenomics classifiers
  19. Lessons Learned from Quantitative Dynamical Modeling in Systems Biology
  20. MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid

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