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1073 results

Full text 2025

Statistically principled feature selection for single cell transcriptomics

Dollinger EP, Silkwood K, Atwood S, et al.

<h4>Background</h4>The high dimensionality of data in single cell transcriptomics (scRNAseq) requires investigators to choose subsets of genes ("feature selection") for downstream analysis (e.g., unsupervised cell clustering). The evaluation of different approaches to feature selection is …

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Single-Cell Transcriptomics
Full text 2026

Integrated Network Pharmacology, Single-Cell Transcriptomics Unveil the Mechanistic Role of Morusin in Aortic Dissection

Wang Z, Zhang H, Xie Z, et al.

Aortic dissection is a life-threatening cardiovascular emergency with limited pharmacological options. This study focuses on elucidating the multi-target and multi-pathway mechanisms through which morusin mitigates aortic dissection progression, integrating network pharmacology, single-cell transcriptomics and experimental …

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Single-Cell Transcriptomics
Full text 2026

Single-cell sequencing: accurate disease detection

Wang X, Li N, Wang W, et al.

Early and accurate detection of diseases is of great significance for enhancing treatment outcomes and improving patient prognosis. The emergence of single-cell sequencing technology has brought new opportunities for this. This technology breaks through the …

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Single-Cell Transcriptomics
Full text 2026

Genetic and Molecular Interconnections Between Chronic Obstructive Pulmonary Disease and Osteoporosis: Insights from Single-Cell and Mendelian Randomization Analyses

Xue C, Liu P, Zhao S, et al.

<h4>Background</h4>Chronic obstructive pulmonary disease (COPD) and osteoporosis are common comorbid conditions, both of which impose a significant health burden. This research employs single-cell data and Mendelian randomization analysis to pinpoint genes associated with both conditions …

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Single-Cell