Name
Abstract | ||
|---|---|---|
Data Analysis Tool Extension (DAnTE) is a statistical tool designed to address challenges associated with quantitative bottom-up, shotgun proteomics data. This tool has also been demonstrated for microarray data and can easily be extended to other high-throughput data types. DAnTE features selected normalization methods, missing value imputation algorithms, peptide-to-protein rollup methods, an extensive array of plotting functions and a comprehensive hypothesis-testing scheme that can handle unbalanced data and random effects. The graphical user interface (GUI) is designed to be very intuitive and user friendly. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/bioinformatics/btn217 | BIOINFORMATICS |
Keywords | DocType | Volume |
quantitative analysis,data type,high throughput,missing values,graphic user interface,data analysis,hypothesis test,feature selection,microarray data,bottom up,random effects | Journal | 24 |
Issue | ISSN | Citations |
13 | 1367-4803 | 22 |
PageRank | References | Authors |
2.78 | 1 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashoka D Polpitiya | 1 | 55 | 7.41 |
| Wei-Jun Qian | 2 | 45 | 5.60 |
| Navdeep Jaitly | 3 | 2988 | 166.08 |
| Vladislav A. Petyuk | 4 | 33 | 3.37 |
| Joshua N. Adkins | 5 | 155 | 17.14 |
| David G. Camp II | 6 | 24 | 3.44 |
| Gordon A. Anderson | 7 | 128 | 11.34 |
| Richard D. Smith | 8 | 376 | 40.47 |