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  1. Optimization and uncertainty analysis of ODE models using second order adjoint sensitivity analysis‏‎ (1 revision)
  2. 20 Benchmark Problem for Modelling Intracellular Processes‏‎ (1 revision - redirect page)
  3. Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data‏‎ (1 revision)
  4. Evaluation of preprocessing, mapping and postprocessing algorithms for analyzing whole genome bisulfite sequencing data‏‎ (1 revision)
  5. Optimization of miRNA-seq data preprocessing‏‎ (1 revision)
  6. Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics‏‎ (1 revision)
  7. A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data‏‎ (1 revision)
  8. Funding‏‎ (1 revision)
  9. Comprehensive evaluation of untargeted metabolomics data processing software in feature detection, quantification and discriminating marker selection‏‎ (1 revision)
  10. MeltDB: a software platform for the analysis and integration of metabolomics experiment data‏‎ (1 revision)
  11. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ‏‎ (1 revision)
  12. Concepts for Bechmarking Studies:‏‎ (1 revision)
  13. MetaboAnalyst: a web server for metabolomic data analysis and interpretation‏‎ (1 revision)
  14. Peak alignment using wavelet pattern matching and differential evolution‏‎ (1 revision)
  15. Software platform for high-throughput glycomics‏‎ (1 revision)
  16. DMR Calling from BSSEQ:‏‎ (1 revision)
  17. Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms‏‎ (1 revision)
  18. Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis‏‎ (1 revision)
  19. The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments‏‎ (1 revision)
  20. The impact of sample imbalance on identifying differentially expressed genes‏‎ (1 revision)
  21. Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening‏‎ (1 revision)
  22. Preprocessing of tandem mass spectrometric data to support automatic protein identification‏‎ (1 revision)
  23. Data processing has major impact on the outcome of quantitative label-free LC-MS analysis‏‎ (1 revision)
  24. Identifying and quantifying metabolites by scoring peaks of GC-MS data‏‎ (1 revision)
  25. Prevention, diagnosis and treatment of high-throughput sequencing data pathologies‏‎ (1 revision)
  26. Bioinformatics and Statistics: LC‐MS (/MS) Data Preprocessing for Biomarker Discovery‏‎ (1 revision)
  27. Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions‏‎ (1 revision)
  28. Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes‏‎ (1 revision)
  29. NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis‏‎ (1 revision)
  30. Project 20 Benchmark Models‏‎ (1 revision - redirect page)
  31. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching‏‎ (1 revision)
  32. Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery‏‎ (1 revision)
  33. Imputation in Proteomics:‏‎ (1 revision - redirect page)
  34. 20 Benchmark Models:‏‎ (1 revision - redirect page)
  35. Recursive partitioning for missing data imputation in the presence of interaction effects‏‎ (2 revisions)
  36. Recursive partitioning for missing data imputation in the presence of interaction effects.‏‎ (2 revisions)
  37. Comparison of peak‐picking workflows for untargeted liquid chromatography/high‐resolution mass spectrometry metabolomics data analysis‏‎ (2 revisions)
  38. MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid‏‎ (2 revisions)
  39. Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data‏‎ (2 revisions)
  40. Machine learning methods for predictive proteomics‏‎ (2 revisions)
  41. Robust calibration of hierarchical population models for heterogeneous cell populations‏‎ (2 revisions)
  42. Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis‏‎ (2 revisions)
  43. An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics‏‎ (2 revisions)
  44. Testing structural identifiability by a simple scaling method‏‎ (2 revisions)
  45. An improved algorithm for peak detection in mass spectra based on continuous wavelet transform‏‎ (2 revisions)
  46. DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data‏‎ (2 revisions)
  47. Data-driven normalization strategies for high-throughput quantitative RT-PCR‏‎ (2 revisions)
  48. Predicting Breast Cancer Survivability Using Data Mining Techniques‏‎ (2 revisions)
  49. Data-driven reverse engineering of signaling pathways using ensembles of dynamic models‏‎ (2 revisions)
  50. NOREVA: normalization and evaluation of MS-based metabolomics data‏‎ (2 revisions)

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