Kniha Learning Causal Networks from Gene Expression Data Nasir Ahsan

Learning Causal Networks from Gene Expression Data

A Probabilistic Time Series Model for Gene Regulatory Relationships and Learning the Model from Gene Expression Data

Autor: Nasir Ahsan
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: VDM Verlag
Dostupnosť: Skladom u dodávateľa
Odosielame za 9-15 dní
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In this work we present a new model for identifying dependencies within a gene regulatory cycle. The...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2009
Stránok
172
EAN
9783639197792
ISBN
3639197798
Enbook ID
06827839
Vydavateľ
Hmotnosť
259
Rozmery
152 x 229 x 10

Kompletný popis

In this work we present a new model for identifying dependencies within a gene regulatory cycle. The model incorporates both probabilistic and temporal aspects, but is kept deliberately simple to make it amenable for learning from the gene expression data of microarray experiments. A key simplifying feature in our model is the use of a compression function for collapsing multiple causes of gene expression into a single cause. This allows us to introduce a learning algorithm which avoids the over-fitting tendencies of models with many parameters. We have validated the learning algorithm on simulated data, and carried out experiments on real microarray data. In doing so, we have discovered novel, yet plausible, biological relationships.

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