Name
Abstract | ||
|---|---|---|
Summary: We have developed a new method (BioHMM) for segmenting array comparative genomic hybridization data into states with the same underlying copy number. By utilizing a heterogeneous hidden Markov model, BioHMM incorporates relevant biological factors (e.g. the distance between adjacent clones) in the segmentation process. Availability: BioHMM is available as part of the R library snapCGH which can be downloaded from http://www.bioconductor.org/packages/bioc/1.8/html/snapCGH.html Contact: J.Marioni@damtp.cam.ac.uk Supplementary information: Supplementary information is available at http://www.damtp.cam.ac.uk/user/jcm68/BioHMM.html |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1093/bioinformatics/btl089 | Bioinformatics |
DocType | Volume | Issue |
Journal | 22 | 9 |
ISSN | Citations | PageRank |
1367-4803 | 47 | 2.80 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. C. Marioni | 1 | 47 | 2.80 |
| N. P. Thorne | 2 | 47 | 2.80 |
| S. Tavaré | 3 | 47 | 2.80 |