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Filtering by: Subject Proteins -- Conformation -- Computer simulation Subject Supervised learning (Machine learning)

Protein secondary structure prediction using conditional random fields and profiles

Creator:

Shen, Rongkun

Abstract:

Protein secondary structure prediction plays a pivotal role in predicting protein folding in three-dimensions. Its task is to assign each residue one of the three secondary structure classes helix, strand, or random coil. This is an instance of the problem of sequential supervised learning in machine learning. This thesis describes...

Resource Type:

Masters Thesis