作者: Edgar A. Castro-Astengo , Felix F. Gonz´lez-Navarro , Brenda A. Flores-Rios
关键词: Bioinformatics 、 Feature selection 、 Biology 、 Amyotrophic lateral sclerosis 、 Disease 、 Gene 、 Microarray 、 Gene mutation 、 Stability (learning theory) 、 Selection (genetic algorithm)
摘要: Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease causing progressive loss of motor neurons. The prevalence 5 per 100,000 people. There no cure and it leads generally to death from respiratory failure in approximately 3-5 years after the first symptoms. exact causes are still unknown, however, almost 20% known cases have shown gene mutations. use expression analysis powerful tool discover most relevant genes cellular process, but high dimensionality data makes feature selection challenging task. Using filter method combined with machine learning algorithms, an ALS set explored. Bootstrap resampling used as way achieve stability whole process.