Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/agimpute-imputation-of-scrna-seq-data-based-on-a-hybrid-gan-with-dropouts-identification
MLA“AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/agimpute-imputation-of-scrna-seq-data-based-on-a-hybrid-gan-with-dropouts-identification.
BibTeX@misc{4ortxyz_agimpute-imputation-of-scrna-seq-data-based-on-a-hybrid-gan-with-dropouts-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification}}, year = {2026}, url = {https://4ort.xyz/entity/agimpute-imputation-of-scrna-seq-data-based-on-a-hybrid-gan-with-dropouts-identification}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification — https://4ort.xyz/entity/agimpute-imputation-of-scrna-seq-data-based-on-a-hybrid-gan-with-dropouts-identification (retrieved 2026-05-24)
