id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-327744-5k8np850	Munteanu, Cristian Robert	Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices	2009-03-21		.txt	text/plain	4738	277	57	In conclusion, we shown that, using simple input data such is the primary protein sequence and the simples linear analysis, it is possible to obtain accurate classification models that can predict if a new protein related with two types of cancer. The primary protein sequence is transformed in connectivity star graph's TIs that are used by a statistical linear method in order to construct an input-coded multi-target classification model. The best classification model predicted the probability of presence in HBC/HCC cancer for any of these mutated proteins and the results were analysed with two-way joining clustering analysis method (tw-JCA) from STATISTICA (StatSoft.Inc., 2002). This study is proposing two cancer/non-cancer input-coded multi-target classification models for HBC and HCC using the star network TIs of the protein amino acid sequences.	./cache/cord-327744-5k8np850.txt	./txt/cord-327744-5k8np850.txt