We present IGSimpute, an accurate and interpretable imputation method for recovering missing values in scRNA-seq data with an interpretable instance-wise gene ...
We present IGSimpute, an accurate and interpretable imputation method for recovering missing values in scRNA-seq data with an interpretable instance-wise gene ...
Jan 23, 2023 · Here, we present IGSimpute, an accurate and interpretable imputation method for recovering missing values in scRNA-seq data with an ...
Here, we present IGSimpute, an accurate and interpretable imputation method for recovering missing values in scRNA-seq data with an interpretable instance-wise ...
Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute. Published in. Briefings in Bioinformatics, April 2023. DOI, 10.1093/bib ...
IGSimpute is an accurate and interpretable imputation method for recovering missing values in scRNA-seq data with an interpretable instance-wise gene selection ...
Nov 30, 2024 · Findings from Hong Kong Baptist University Reveals New Findings on Information Technology (Accurate and Interpretable Gene Expression Imputation ...
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Our comprehensive evaluation demonstrates that the GraCEImpute model outperforms existing approaches in accurately imputing dropout zeros within scRNA-seq data.
Jul 1, 2022 · Here, inspired by the idea of causal inference, we propose a novel propensity score matching method for scRNA-seq data (scPSM) by borrowing ...
Jul 10, 2020 · We develop DISC, a novel deep learning network with semi-supervised learning to infer gene structure and expression obscured by dropouts.