scFSNN: a feature selection method based on neural network for single-cell RNA-seq data.

"all scrna-seq data used in this paper are available publicly in gene expression omnibus under accession number gse94333 (adam [ 27 ]) gse87038 (dong [ 28 ]) gse62270 (grun [ 31 ]) gse81547 (enge [ 30 ]) gse84133 (baron [ 32 ]) and gse87544 (chen [ 33 ]) gse157827 (lau [ 34 ]). availability of data and materials the code developed for the study of scfsnn is publicly available at the github repository https://github com/linbingqing/scfsnn ."

"availability of data and materials the code developed for the study of scfsnn is publicly available at the github repository https://github com/linbingqing/scfsnn ."

"Declarations Ethics approval and consent to participateNot applicable. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

"Funding Bingqing Lin’s research was supported by the National Natural Science Foundation of China (NSFC) (Grant No. 11701386). Yan Zhou’s research was supported by the National Natural Science Foundation of China (Grant No. 12071305, 12371295) and the Natural Science Foundation of Guangdong Province of China (2023A1515011399)."