Identifying Splice-Junction Sequences by hierarchical multiclassifier

none2Splice sites are locations in DNA which separate protein-coding regions (exons) from noncoding regions (introns). Recently, several works have approached the splice-junction problem by applying methods from the field of machine learning techniques. In this work, we propose a hierarchicalmulticlassifier (HM) architecture, whose results show a drastically error reduction with respect to the performance of methods proposed in the literature.noneA. LUMINI; L. NANNIA., Lumini; Nanni, Lori

Identifying Splice-Junction Sequences by hierarchical multiclassifier

Splice sites are locations in DNA which separate protein-coding regions (exons) from noncoding regions (introns). Recently, several works have approached the splice-junction problem by applying methods from the field of machine learning techniques. In this work, we propose a hierarchical multiclassifier (HM) architecture, whose results show a drastically error reduction with respect to the performance of methods proposed in the literature

A knowledge engineering approach to the recognition of genomic coding regions

ได้ทุนอุดหนุนการวิจัยจากมหาวิทยาลัยเทคโนโลยีสุรนารี ปีงบประมาณ พ.ศ.2556-255

Identifying Splice-Junction Sequences by hierarchical multiclassifier

Splice sites are locations in DNA which separate protein-coding regions (exons) from noncoding regions (introns). Recently, several works have approached the splice-junction problem by applying methods from the field of machine learning techniques. In this work, we propose a hierarchical multiclassifier (HM) architecture, whose results show a drastically error reduction with respect to the performance of methods proposed in the literature