Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, India.
Department of Electronics and Communication Engineering, Assam Don Bosco University, Guwahati, Assam, India.
Comput Methods Biomech Biomed Engin. 2022 Mar;25(4):359-370. doi: 10.1080/10255842.2021.1955358. Epub 2021 Aug 12.
Early detection of disease genes helps humans to recover from certain gene-related diseases, like genetic eye diseases. This work identifies the possibility of eye diseasesfor the disease genes utilizing a Gaussian-activation function (G)-centric deeplearning neural network (GDLNN) model. In this work, human genes are selected by computing structural similarity and genes are clustered as disease genesand normal genes by using the JMFC clustering algorithm. Levy flight and Crossover and Mutation (LCM) centric Chicken Swarm Optimization (LCM-CSO) is employed for feature selection and GDLNN classifies the eye-related diseases for the input genes using the selected features.
疾病基因的早期检测有助于人类从某些与基因相关的疾病中康复，如遗传性眼病。这项工作利用基于高斯激活函数（G）的深度学习神经网络（GDLNN）模型，为疾病基因识别眼病的可能性。在这项工作中，通过计算结构相似性选择人类基因，并使用 JMFC 聚类算法将基因聚类为疾病基因和正常基因。以 Levy 飞行和交叉与变异（LCM）为中心的鸡群优化（LCM-CSO）用于特征选择，GDLNN 使用所选特征对输入基因进行与眼部相关的疾病分类。
Comput Methods Biomech Biomed Engin. 2022-3
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