On Learning Gene Regulatory Networks Under the Boolean Network Model

By Harri Lähdesmäki, Ilya Shmulevich, O. Yli-Harja. Machine-mediated learning, 2003

318 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/0657bab2673eabe77cf238171449a1d0e7645e59

How researchers see this paper

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

In Molecular Biology

1. Ron Shamir
2. Guy Karlebach
3. Olaf Sporns
4. D. Bassett

Citations in the corpus

• Modelling and analysis of gene regulatory networks (2008, background): “For any entity under a Boolean network model, both its regulators and a regulatory function that is consistent with a set of gene-expression profiles can be found efficiently, provided that the number of regulators of each entity does not exceed a set limi”