id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-319291-6l688krc	Hung, Chun-Min	Alignment using genetic programming with causal trees for identification of protein functions	2006-09-01		.txt	text/plain	8941	632	52	Particularly, the model has three characteristics: (i) it is a hybrid evolutionary model with multiple fitness functions that uses genetic programming to predict protein functions on a distantly related protein family, (ii) it incorporates modified robust point matching to accurately compare all feature points using the moment invariant and thin-plate spline theorems, and (iii) the hierarchical homologies holding up a novel protein sequence in the form of a causal tree can effectively demonstrate the relationship between proteins. The hybrid model, namely Alignment using Genetic programming with Causal Tree (AGCT), is a heuristic evolutionary method that contains three basic components: (i) genetic programming with innerexchanged individual strategy, (ii) causal trees [4, 28, 31] with probabilistic reasoning, and (iii) construction of hierarchical homologies with local block-to-block alignment using the methods of moment invariant and robust points matching (RPM) [24] .	./cache/cord-319291-6l688krc.txt	./txt/cord-319291-6l688krc.txt