Φορτώνει......
Fuzzy Logic for Elimination of Redundant Information of Microarray Data
Gene subset selection is essential for classification and analysis of microarray data. However, gene selection is known to be a very difficult task since gene expression data not only have high dimensionalities, but also contain redundant information and noises. To cope with these difficulties, this...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Genomics Proteomics Bioinformatics |
|---|---|
| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Elsevier
2008
|
| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5054105/ https://ncbi.nlm.nih.gov/pubmed/18973862 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S1672-0229(08)60021-2 |
| Ετικέτες: |
Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|