Nonlinear projection methods for visualizing Barcode data and application on two data sets
Developing tools for visualizing DNA sequences is an important issue in the Barcoding context. Visualizing Barcode data can be put in a purely statistical context, unsupervised learning. Clustering methods combined with projection methods have two closely linked objectives, visualizing and finding s...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2013
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/95300 |
Similar Items: Nonlinear projection methods for visualizing Barcode data and application on two data sets
- Function approximation and documentation of sampling data using artificial neural networks
- Collective escape and supratransmission phenomena in a nonlinear oscillators chain
- Algorithmic differentiation of linear mixed models with variance-covariance structures
- Characterization of statistical features for plant microRNA prediction
- Transposable element annotation of the rice genome
- Using small RNA-seq data to detect siRNA duplexes induced by plant viruses