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  1. Fast derivatives of likelihood functionals for ODE based models using adjoint-state method
  2. Funding
  3. Gene set analysis methods: a systematic comparison
  4. Getting started with MediaWiki
  5. Guidelines for Summarizing a Literature Study
  6. Help
  7. Hierarchical optimization for the efficient parametrization of ODE models
  8. Hybrid optimization method with general switching strategy for parameter estimation
  9. Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening
  10. Identifying and quantifying metabolites by scoring peaks of GC-MS data
  11. Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes
  12. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
  13. LEMMI: a continuous benchmarking platform for metagenomics classifiers
  14. Lessons Learned from Quantitative Dynamical Modeling in Systems Biology
  15. Literature Studies
  16. MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid
  17. Machine learning methods for predictive proteomics
  18. MeltDB: a software platform for the analysis and integration of metabolomics experiment data
  19. MetaboAnalyst: a web server for metabolomic data analysis and interpretation
  20. MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv)
  21. Microbiome differential abundance methods produce different results across 38 datasets
  22. Mini-batch optimization enables training of ODE models on large-scale datasets
  23. Missing value estimation methods for DNA microarrays
  24. Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline
  25. Mockrobiota: a public resource for microbiome bioinformatics benchmarking
  26. NOREVA: normalization and evaluation of MS-based metabolomics data
  27. Normalization regarding non-random missing values in high-throughput mass spectrometry data
  28. NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis
  29. OpenMS: a flexible open-source software platform for mass spectrometry data analysis
  30. Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis
  31. Optimization and uncertainty analysis of ODE models using second order adjoint sensitivity analysis
  32. Optimization of miRNA-seq data preprocessing
  33. Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach
  34. Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy
  35. Parameter estimation in models of biological oscillators: an automated regularised estimation approach
  36. Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis
  37. Peak alignment using wavelet pattern matching and differential evolution
  38. Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms
  39. Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis
  40. Performance of objective functions and optimization procedures for parameter estimation in system biology models
  41. Predicting Breast Cancer Survivability Using Data Mining Techniques
  42. Preprocessing of tandem mass spectrometric data to support automatic protein identification
  43. Prevention, diagnosis and treatment of high-throughput sequencing data pathologies
  44. Project 20 Benchmark Problems for Modelling Intracellular Processes
  45. Project Imputation in Proteomics
  46. Recursive partitioning for missing data imputation in the presence of interaction effects
  47. Recursive partitioning for missing data imputation in the presence of interaction effects.
  48. Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics
  49. Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics.
  50. Robust calibration of hierarchical population models for heterogeneous cell populations

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