Proposing a highly accurate protein structural class predictor using segmentation-based features

被引：0
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作者：
Abdollah Dehzangi
Kuldip Paliwal
James Lyons
Alok Sharma
Abdul Sattar
机构：
[1] Griffith University,Institute for Integrated and Intelligent Systems (IIIS)
[2] National ICT Australia (NICTA),School of Engineering
[3] Griffith University,School of Engineering
[4] The University of the South Pacific,undefined
来源：
BMC Genomics | / 15卷
关键词：
Protein structural class prediction problem; Structural features; Evolutionary features; Segmented auto covariance; Segmented distribution; Support Vector Machine (SVM);
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