Skip to content

ICP

Seminar

An algorithm to segment count data using a binomial negative model

Rigaill, G (INRA-CNRS-Université d'Evry Val d'Essonne, URGV)
Thursday 16 January 2014, 10:00-10:30

Seminar Room 1, Newton Institute

Abstract

We consider the problem of segmenting a count data profile. We developed an algorithm to recover the best (w.r.t the likelihood) segmentations in 1 to K_{max} segments. We prove that the optimal segmentation can be recovered using a compression scheme which reduces the time complexity. The compression is particularly efficient when the signal has large plateaus. We illustrate our algorithm on next generation sequencing data.

Presentation

[pdf ]

Video

The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.

Back to top ∧