Article

Benchmarking Imputation Methods for Single-Cell RNA Sequencing Data Using Peripheral Blood Mononuclear Cells from Acute Myocardial Infarction Patients

2026-08-27

Abstract excerpt

Acute myocardial infarction (AMI) remains one of the leading causes of mortality worldwide, and the following post-effects, such as post-AMI inflammation and tissue repair, involve peripheral blood mononuclear cells playing a critical role. The influence of imputation methods in biological data is assessed with respect to high-resolution single-cell RNA sequencing (scRNAseq) data relevant to these cells. Still scR...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: f6fc075a-e1ce-5128-ac2c-97e4ed742d22
DOI: 10.64898/2026.08.23.746230

Open publication

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Click a neighbor to travelStep 1 · 12 closest

Benchmarking Imputation Methods for Single-Cell RNA Sequencing Data Using Peripheral Blood Mononuclear Cells from Acute Myocardial Infarction PatientsDOI 10.64898/2026.08.23.746230Read

SmartImpute: A Targeted Imputation Framework for Single-cell Transcriptome DataSemantic proximity Read

Regulatory network-based imputation of dropouts in single-cell RNA sequencing dataSemantic proximity Read

Gene Expression Imputation with Generative Adversarial Imputation NetsSemantic proximity Read

scImpute: Accurate And Robust Imputation For Single Cell RNA-Seq DataSemantic proximity Read

Two-stage strategy using denoising autoencoders for robust reference-free genotype imputation with missing input genotypes.Semantic proximity Read

<b>McImpute</b> : Matrix completion based imputation for single cell RNA-seq dataSemantic proximity Read

Noise regularization removes correlation artifacts in single-cell RNA-seq data preprocessingSemantic proximity Read

GROMTools: scalable individual-level GReX imputation for mega-biobank-scale cohortsSemantic proximity Read

Benchmarking Machine Learning Models for Cell Type Annotation in Single-Cell vs Single-Nucleus RNA-Seq DataSemantic proximity Read

Recovering Single-cell Heterogeneity Through Information-based Dimensionality ReductionSemantic proximity Read

SMURF: embedding single-cell RNA-seq data with matrix factorization preserving self-consistencySemantic proximity Read

Rapid, Reference-Free human genotype imputation with denoising autoencoders.Semantic proximity Read