Modelling Stem Cells Lineages with Markov Trees

Summary, in English

A variational Bayesian EM with smoothed probabilities algorithm for hidden Markov trees (HMT) is proposed for incomplete tree structured data. The full posterior of the HMT parameters is determined and the underflow problems associated with previous algorithms are eliminated. Example results for the prediction of the types of cells in real stem cell lineage trees are presented.

• Författare: Victor Olariu; Daniel Coca; Stephen A. Billings; Visakan Kadirkamanathan
• Publiceringsår: 2009-10-16
• Språk: Engelska
• Sidor: 233-243
• Publikation/Tidskrift/Serie: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Volym: 5780 LNBI
• Länkar: http://dx.doi.org/10.1007/978-3-642-04031-3_21
• Dokumenttyp: Konferensbidrag
• Conference name: 4th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2009
• Conference date: 2009-09-07 - 2009-09-09
• Conference place: Sheffield, United Kingdom
• Status: Published
• ISBN/ISSN/Övrigt: ISSN: 1611-3349; ISSN: 0302-9743; ISBN: 3642040306; ISBN: 9783642040306