Pages with the most revisions
Showing below up to 20 results in range #41 to #60.
View (previous 20 | next 20) (20 | 50 | 100 | 250 | 500)
- Testing structural identifiability by a simple scaling method (2 revisions)
- Comparison of peak‐picking workflows for untargeted liquid chromatography/high‐resolution mass spectrometry metabolomics data analysis (2 revisions)
- Efficient parameterization of large-scale dynamic models based on relative measurements (2 revisions)
- Predicting Breast Cancer Survivability Using Data Mining Techniques (2 revisions)
- The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments (2 revisions)
- Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data (2 revisions)
- NOREVA: normalization and evaluation of MS-based metabolomics data (2 revisions)
- Normalization regarding non-random missing values in high-throughput mass spectrometry data (2 revisions)
- NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis (2 revisions)
- OpenMS: a flexible open-source software platform for mass spectrometry data analysis (2 revisions)
- Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes (2 revisions)
- Project Imputation in Proteomics (2 revisions)
- MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid (2 revisions)
- Recursive partitioning for missing data imputation in the presence of interaction effects (2 revisions)
- DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data (2 revisions)
- Machine learning methods for predictive proteomics (2 revisions)
- Recursive partitioning for missing data imputation in the presence of interaction effects. (2 revisions)
- Data-driven normalization strategies for high-throughput quantitative RT-PCR (2 revisions)
- Data-driven reverse engineering of signaling pathways using ensembles of dynamic models (2 revisions)
- Catalyst: Fast and flexible modeling of reaction networks (2 revisions)
