چکیده مقاله
MicroRNAs miRNAs are small and non coding ribonucleic acids that play critical roles in regulation of host genome expression at post transcriptional level Since finding miRNA target experimentally is costly and needs spending much time, the use of machine learning methods is a growing research area for miRNA target prediction In this paper, a new classifier is proposed to predict human miRNA targets in which the Adaptive Neuro Fuzzy Inference system ANFIS is utilized as the base classifier in rotation forest For finding the best radii parameters of ANFIS models, Genetic Algorithm GA is used Experimental results confirm that the proposed method is well comparable to the methods in the literature
کلیدواژهها
نویسندگان
Elham Sadat Jafari Nasab
Department of Computer Engineering, Shahid Bahonar University, Kerman, Iran
Zahra Karami
Department of Biology,Faculty of sciences, Shahid Bahonar University, Kerman, Iran
شیوه ارجاع
Sadat Jafari Nasab, Elham and Karami, Zahra,1395,Utilizing ANFIS in rotation forest for human MicroRNA target prediction,3rd National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات سومین کنفرانس سراسری نوآوری های اخیر در مهندسی برق و کامپیوتر19 شهریور 1395 · تهران