Prediction of Signal Sequences in Abiotic Stress Inducible Genes from Main Crops by Association Rule Mining
This work tackles the recognition of promoter regions in crops to aid in finding genes related to abiotic stress, but it appears incremental as it builds on existing methods without claiming major breakthroughs.
The paper addresses the problem of predicting promoter regions in DNA sequences to identify abiotic stress-inducible genes in main crops, using association rule mining as a method, but no concrete results or numbers are provided in the abstract.
It is important to study on genes affecting to growing environment of main crops. Especially the recognition problem of promoter region, which is the problem to predict whether DNA sequences contain promoter regions or not, is prior to find abiotic stress-inducible genes. Studies on predicting promoter sequences in DNA sequences have been studied by traditional pattern matching methods and machine learning methods in biology and computer science.