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2701 results

Full text 2026

iAODE for benchmarking and continuum modeling of single-cell chromatin accessibility

Fu Z, Chen C, Wang S, et al.

Single-cell chromatin accessibility profiles are extremely sparse but reflect continuous developmental trajectories. Most existing methods for dimensionality reduction and trajectory analysis optimize reconstruction error or cluster separation, without encoding temporal continuity in the model or …

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Single-Cell Transcriptomics
Full text 2026

Multiplexed single-cell transcriptomics reveals diverse phenotypic outcomes for pathogenic SHP2 variants

van Vlimmeren AE, Giglio RM, Jiang Z, et al.

The protein tyrosine phosphatase SHP2, encoded by <i>PTPN11</i>, is an important regulator of Ras/mitogen-activated protein kinase signaling that acts downstream of receptor tyrosine kinases and other transmembrane receptors. Germline <i>PTPN11</i> mutations cause developmental disorders such …

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Single-Cell Transcriptomics
Full text 2026

Protocol for single-cell optimization objective and trade-off inference

Lin DW, Teixeira C, Chung C, et al.

Single-cell optimization objective and trade-off inference (SCOOTI) is a computational framework that integrates bulk and single-cell omics data with genome-scale metabolic modeling to infer metabolic objectives and trade-offs in biological systems. Here, we present a …

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Bioinformatics Single-Cell Transcriptomics
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

Reconstructing single-cell resolution from spatial transcriptomics with CellRefiner

Bourgain-Chang E, Kuang X, Cang Z, et al.

Single-cell RNA sequencing technologies profile the transcriptome of individual cells but lack the spatial context necessary for dissecting cellular interactions like cell-cell communications. On the other hand, most current spatial transcriptomic technologies lack cellular resolution, …

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Transcriptomics