ArticleFrontiers in genetics2019
McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
40 citing papers in PubMed.
- Compact and informative representation learning for scRNA-seq data clustering with masked information bottleneck.BMC biology · 2026Article
- Imputing missing values in single-cell RNA-sequencing data: a statistical and machine learning-based approach.Briefings in bioinformatics · 2026Article
- scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data.BMC bioinformatics · 2025Article
- Advances and applications in single-cell and spatial genomics.Science China. Life sciences · 2025Review
- SAE-Impute: imputation for single-cell data via subspace regression and auto-encoders.BMC bioinformatics · 2024Article
- scRNMF: An imputation method for single-cell RNA-seq data by robust and non-negative matrix factorization.PLoS computational biology · 2024Article
- scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data.Briefings in bioinformatics · 2024Article
- A deep learning adversarial autoencoder with dynamic batching displays high performance in denoising and ordering scRNA-seq data.iScience · 2024Article
- Self-supervised deep learning of gene-gene interactions for improved gene expression recovery.Briefings in bioinformatics · 2024Article
- Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries.Nature genetics · 2023Article
- [Imputation method for dropout in single-cell transcriptome data].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Review
- Joint gene network construction by single-cell RNA sequencing data.Biometrics · 2023Article
- scRNA-seq data analysis method to improve analysis performance.IET nanobiotechnology · 2023Review
- Kernelized multiview signed graph learning for single-cell RNA sequencing data.BMC bioinformatics · 2023Article
- Link prediction on bipartite networks using matrix factorization with negative sample selection.PloS one · 2023Article
- Leveraging data-driven self-consistency for high-fidelity gene expression recovery.Nature communications · 2022Article
- Region-specific denoising identifies spatial co-expression patterns and intra-tissue heterogeneity in spatially resolved transcriptomics data.Nature communications · 2022Article
- ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data.BMC bioinformatics · 2022Article
- DURIAN: an integrative deconvolution and imputation method for robust signaling analysis of single-cell transcriptomics data.Briefings in bioinformatics · 2022Article
- HiCImpute: A Bayesian hierarchical model for identifying structural zeros and enhancing single cell Hi-C data.PLoS computational biology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.