New kernel methods for phenotype prediction from genotype data.

Abstract excerpt

Phenotype prediction from genotype data is one of the most important issues in computational genetics. In this work, we propose a new kernel (i.e., an SVM: Support Vector Machine) method for phenotype prediction from genotype data. In our method, we first infer multiple suboptimal haplotype candidates from each genotype by using the HMM (Hidden Markov Model), and the kernel matrix is computed based on the...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Arylamine N-Acetyltransferase
• Share to Computational Biology