Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models

By Yoshinori Tamada, Hideo Bannai, Seiya Imoto, Toshiaki Katayama, Minoru Kanehisa, Satoru Miyano. 2005

46 citations recorded by the source corpus.

Subfields: Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Marcel Nassar
2. Zaher Dawy
3. Elias Yaacoub
4. Hady Ali Zeineddine
5. Rami Abdallah

Citations in the corpus

• A new multitask learning method for multiorganism gene network estimation (2008, background): “…form [2]: P (X1, X2, ..., Xn) = n∏ i=1 P (Xi|Pa(Xi)) (1) Modeling a gene network as a Bayesian network is motivated by the fact that the causal relations between genes can be described qualitatively through the presence of edges, and quantitatively through the conditional probability distributions.”
• A Survey of Transfer and Multitask Learning in Bioinformatics (2011, unknown): “[43] utilized evolutionary information of two organisms to reconstruct their individual gene networks.”