Long pages

Showing below up to 20 results in range #1 to #20.

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  1. (hist) ‎Literature Studies ‎[22,230 bytes]
  2. (hist) ‎TEMPLATE ‎[14,311 bytes]
  3. (hist) ‎DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts ‎[10,469 bytes]
  4. (hist) ‎Gene set analysis methods: a systematic comparison ‎[6,682 bytes]
  5. (hist) ‎MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv) ‎[6,606 bytes]
  6. (hist) ‎A general modular framework for gene set enrichment analysis ‎[6,266 bytes]
  7. (hist) ‎Fast derivatives of likelihood functionals for ODE based models using adjoint-state method ‎[6,211 bytes]
  8. (hist) ‎Benchmarking optimization methods for parameter estimation in large kinetic models ‎[5,304 bytes]
  9. (hist) ‎Lessons Learned from Quantitative Dynamical Modeling in Systems Biology ‎[4,674 bytes]
  10. (hist) ‎Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16 ‎[4,351 bytes]
  11. (hist) ‎Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus ‎[4,106 bytes]
  12. (hist) ‎Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis ‎[3,552 bytes]
  13. (hist) ‎Performance of objective functions and optimization procedures for parameter estimation in system biology models ‎[2,825 bytes]
  14. (hist) ‎Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies ‎[2,763 bytes]
  15. (hist) ‎Hierarchical optimization for the efficient parametrization of ODE models ‎[2,609 bytes]
  16. (hist) ‎A comparison of methods for quantifying prediction uncertainty in systems biology ‎[2,506 bytes]
  17. (hist) ‎Toward a gold standard for benchmarking gene set enrichment analysis ‎[2,449 bytes]
  18. (hist) ‎Benchmark problems for dynamic modeling of intracellular processes ‎[2,407 bytes]
  19. (hist) ‎Hybrid optimization method with general switching strategy for parameter estimation ‎[2,405 bytes]
  20. (hist) ‎Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data ‎[2,147 bytes]

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