Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis.

"deep learning feature selection methods were implemented in pytorch (1 11 0) and the source code is deposited in zenodo ( https://doi org/10 5281/zenodo 10027186 ) [ 34 ] and is freely available from https://github com/pyanglab/scdeepfeatures under a gpl-3 license [ 35 ]."

"deep learning feature selection methods were implemented in pytorch (1 11 0) and the source code is deposited in zenodo ( https://doi org/10 5281/zenodo 10027186 ) [ 34 ] and is freely available from https://github com/pyanglab/scdeepfeatures under a gpl-3 license [ 35 ]."

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

"Funding This work is supported by a National Health and Medical Research Council (NHMRC) Investigator Grant (1173469) to P.Y."