sccr
Gene-GeneRelationshipModelingBasedonGenetic EvidenceforSingle-CellRNA-SeqDataImputation
Single-cell RNA sequencing (scRNA-seq) technologies enable the exploration of cellular heterogeneity and facilitate the construction of cell atlases. However, scRNA-seq data often contain a large portion of missing values (false zeros) or noisy values, hindering downstream analyses. To recover these false zeros, propagation-based imputation methods havebeen proposed usingk-NN graphs.
Industry:
- Information Technology (0.67)
- Health & Medicine > Therapeutic Area > Neurology (0.46)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.96)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.96)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.93)
- Information Technology > Data Science (0.93)