Name
Title | ||
|---|---|---|
MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms. |
Abstract | ||
|---|---|---|
MINT is a powerful approach and the first of its kind to solve the integrative classification framework in a single step by combining multiple independent studies. MINT is computationally fast as part of the mixOmics R CRAN package, available at http://www.mixOmics.org/mixMINT/ and http://cran.r-project.org/web/packages/mixOmics/ . |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1553-8 | BMC Bioinformatics |
Keywords | Field | DocType |
Algorithm,Classification,Integration,Multivariate,Partial-least-square,Transcriptome analysis | Data mining,Data set,Computer science,Multivariate statistics,Bioinformatics,Gene signature,Sample size determination | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
1 | 0.38 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Rohart | 1 | 13 | 1.90 |
| Aida Eslami | 2 | 1 | 0.38 |
| Nicholas Matigian | 3 | 1 | 0.38 |
| Stéphanie Bougeard | 4 | 11 | 3.10 |
| Kim-Anh Lê Cao | 5 | 2 | 1.77 |