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1073 results

Full text 2026

Uncovering causal relationships in single-cell omic studies with causarray

Du JH, Shen M, Mathys H, et al.

Advances in single-cell sequencing and Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) technologies have enabled detailed case-control comparisons and experimental perturbations at single-cell resolution. However, uncovering causal relationships in observational genomic data remains challenging due …

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Single-Cell Transcriptomics
Full text 2026

Benchmarking component choices for unpaired single cell RNA and epigenomic integration

Naqing F, Yuan Q, Duren Z.

<h4>Background</h4>Single-cell multi-omics sequencing technologies enable profiling various cellular aspects, offering valuable biological insights. Integrating unpaired multi-omics data, which involves profiling different modalities from distinct cells within the same overall population, remains challenging yet crucial for …

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Single-Cell
Full text 2026

CellMate─A Deep Learning-Assisted Single-Cell Data Processing Platform

Friedrich F, Marques C, Lanekoff I.

Mass spectrometry-based single-cell metabolomics (SCM) reveals the inherent heterogeneity of individual cells among seemingly identical cell types. Fast-scanning and high-resolving mass analyzers provide the sensitivity and specificity required to probe minuscule amounts of biological material. …

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Single-Cell
Full text 2026

TRIPODD Enables Single-Cell Quantification of Therapeutic Efficacy

McMahon NP, Solanki A, Montaño AR, et al.

Targeted, small-molecule therapeutics have improved patient survival across cancer types, with >20 tyrosine kinase inhibitors (TKIs) receiving FDA approval as cancer therapies. While the initial TKI response is often promising, it is typically transient due …

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Single-Cell