2022 6th International Conference on Devices, Circuits and Systems (ICDCS), Год журнала: 2024, Номер unknown, С. 229 - 233

Опубликована: Апрель 23, 2024

Microarray Gene Expression classification is a computational model that vital in interpreting biological data encoded profiles of gene expression. Using microarray technology, which permits synchronized measurement numerous genes, this proposes to classify samples into different clusters dependent upon their expression patterns. By examining the massive amount produced from experimentations, researchers can discover significant insights procedures, possible biomarkers for diseases, and improve understanding cellular devices. The procedure includes preprocessing raw data, removing appropriate features, using sophisticated methods precisely allocate exact pathological or phenotypic types, donating considerably areas biomedical genomics research. In study, Classification Chicken Swarm Optimization with Deep Learning (MGEC-CSODL) presented, intended optimize accuracy efficacy classification. technique combines adaptive histogram-based enhance representation, uses DenseNet201 as an influential feature extraction strong learning, employs Optimizer (CSO) hyperparameter fine-tuning performance, Graph Convolutional Network (GCN) precise experimental outcomes establish MGEC-CSODL model, showcasing important growths when equated present models. This state-of-the-art not only progresses area bioinformatics but also delivers effective tool effectual analysis era high-throughput genomics.

Язык: Английский