Title:	Single-Cell Copy Number data
DNr:	SNIC 2022/5-346
Project Type:	SNIC Medium Compute
Principal Investigator:	Jens Lagergren <jensl@kth.se>
Affiliation:	Kungliga Tekniska högskolan
Duration:	2022-07-01 – 2023-09-01
Classification:	10203 10201
Homepage:	https://lagergrenlab.org
Keywords:

Abstract

In this project we are developing and testing a method for clustering single cell copy number data and also calling the copy number of the cells. The method is based on a probabilistic model which is a non standard mixture of HMM suing the so-called Dirichlet process. The inference is performed using Variational Inference. We are currently working on improving the running time as well as evaluations the accuracy on several types of biological sequence data in particular DLP-data, which we have received from our collaborators at UBC.