id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-2021_02_12_430764	Ascensión, Alex M.	Triku: a feature selection method based on nearest neighbors for single-cell data	2021	18	.pdf	application/pdf	9518	1135	64	Triku: a feature selection method based on nearest neighbors for single-cell data Triku is a feature selection method that favours genes defining the main Single-cell RNA sequencing (scRNA-seq) is a powerful technology to study the biological heterogeneity of tissues at the individual cell level, allowing the characterization of new cell populations and cell states–i.e. cell types responding to different scRNA-seq datasets are multidimensional, i.e. the expression profile per cell consists of multiple genes. feature selection method: 1) the ability to recover basic dataset structure (main cell low, meaning that features selected with the different methods yielded clustering solutions that were quite similar to the manually-labeled cell types, although there are We first studied the expression pattern of genes selected by triku and other methods, To evaluate the cluster expression of selected genes in benchmarking datasets, for proteins within the genes selected by different FS methods in the two sets of benchmarking datasets.	./cache/10_1101-2021_02_12_430764.pdf	./txt/10_1101-2021_02_12_430764.txt