id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-2020_12_24_424317	Muazzam, Fariha	Multi-class Cancer Classification and Biomarker Identification using Deep Learning	2021	12	.pdf	application/pdf	4252	426	57	classification, feature extraction and relevant gene identification through deep learning methods for 12 This research picks up from detection of different types of cancer RNA-Seq expressions using deep neural classification of gene expression profiles for different kinds of cancers. Hence, the effectiveness of deep learning models for feature extraction and relevant gene identification is performed revealing substantial results and they produced five high-ranked gene sets and reduced feature This study was aimed at classifying 12 types of cancer and identifying relevant genes and the results show were able to identify cancer-relevant pathways and genes for the sets, that different experiments generated, A deep learning approach for cancer detection and relevant gene Tumor gene expression data classification via sample expansionbased deep learning. Identification of a multi-cancer gene expression Multi-class Cancer Classification and Biomarker Identification using Deep Learning Multi-class Cancer Classification and Biomarker Identification using Deep Learning	./cache/10_1101-2020_12_24_424317.pdf	./txt/10_1101-2020_12_24_424317.txt