DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection.

"availability of data and materials code availability all original code has been deposited at github com [ 91 ] and zenodo [ 92 ] and is publicly available under the mit license. the expression table including the annotation is available from seuratdata ( https://github com/satijalab/seurat-data ) as panc8 seuratdata (v3 0 2) [ ].; availability of data and materials code availability all original code has been deposited at github com [ 91 ] and zenodo [ 92 ] and is publicly available under the mit license. availability of data and materials code availability all original code has been deposited at github com [ 91 ] and zenodo"

"the expression table including the annotation is available from seuratdata ( https://github com/satijalab/seurat-data ) as panc8 seuratdata (v3 0 2) [ ].; availability of data and materials code availability all original code has been deposited at github com [ 91 ] and zenodo [ 92 ] and is publicly available under the mit license."

"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 Open Access funding enabled and organized by Projekt DEAL. FH, RK, MM, PM, and SB were supported by the LFF-FV 78, EU ERare-3 Maxomod, SFB 1286 Z2, FOR 296, and FOR 5068 research grants. Further support was obtained from the UKE R3 reduction of animal testing grant. CE was supported by DFG ER 981/1-1 and the clinician scientist programme of university Hamburg, NG was supported by ERC StG-715271, and SHu was supported by ERC CoG-865466 and has an endowed Heisenberg-Professorship awarded by the Deutsche Forschungsgemeinschaft. SHa was funded by the BMBF STOP-FSGS-01GM1518C and SFB 1192 B08 research grants."