Exploring the optimization of autoencoder design for imputing single-cell RNA sequencing data is a research paper published in Computational and Structural Biotechnology Journal (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.
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NIGMS NIH HHS
Grant: R35 GM140888
National Institutes of Health
Grant: 1R35GM140888-01
Statistical methods for elucidating regulatory mechanisms and functional impacts of transcriptome variation at population and single-cell scales
National Science Foundation
Grant: 1846216
CAREER: Advancing the Bioinformatic Infrastructure and Methodology for Single-cell RNA Sequencing
National Institutes of Health
Grant: 5R01GM120507-04
Robust Identification and accurate quantification of RNA transcripts on a system wide scale
National Science Foundation
Grant: 2113754
Collaborative Research: Development of Classification Theory and Methods for Objective Asymmetry, Sample Size Limitation, Labeling Ambiguity, and Feature Importance
NSF
NIH
FWCI
0.56
Citation Percentile
0.6%
Citation Trend
Fields of Study
Keywords