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Found 7 papers, 0 papers with code
AIS-MACA- Z: MACA based Clonal Classifier for Splicing Site, Protein Coding and Promoter Region Identification in Eukaryotes
This classifier can predict the splicing site with 97% accuracy.
Cellular Automata and Its Applications in Bioinformatics: A Review
This paper aims at providing a survey on the problems that can be easily addressed by cellular automata in bioinformatics.
AIS-INMACA: A Novel Integrated MACA Based Clonal Classifier for Protein Coding and Promoter Region Prediction
The proposed classifier is named as AIS-INMACA introduces a novel concept to combine CA with artificial immune system to produce a better classifier which can address major problems in bioinformatics.
An Extensive Repot on the Efficiency of AIS-INMACA (A Novel Integrated MACA based Clonal Classifier for Protein Coding and Promoter Region Prediction)
This paper exclusively reports the efficiency of AIS-INMACA.
Identification of Protein Coding Regions in Genomic DNA Using Unsupervised FMACA Based Pattern Classifier
But, the regions of these genes that code for proteins may occupy only a small region of the sequence.
HMACA: Towards Proposing a Cellular Automata Based Tool for Protein Coding, Promoter Region Identification and Protein Structure Prediction
This tool also predicts the structure of protein with an accuracy of 80%.
Multiple Attractor Cellular Automata (MACA) for Addressing Major Problems in Bioinformatics
CA has grown as potential classifier for addressing major problems in bioinformatics.
