Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier

By Topon Kumar Paul, Yoshihiko Hasegawa, Hitoshi Iba. 2006

20 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

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

In Artificial Intelligence

1. Vijay S. Pande

In Molecular Biology

1. Vijay S. Pande
2. Oscar F. Ortiz
3. Paul A. Novick
4. Jared Poelman
5. Amir Abdulhay
6. Frank No'e
7. Hao Wu
8. Cecilia Clementi

Citations in the corpus

• SWEETLEAD: an In Silico Database of Approved Drugs, Regulated Chemicals, and Herbal Isolates for Computer-Aided Drug Discovery (2013, methodology): “Such rank-by-vote approaches have been used to build consensus among conflicting information in other fields, such as virtual screening and gene expression prediction[33-36].”