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BigSur – leveraging gene correlations in single cell transcriptomic data

Scientists are using single-cell RNA sequencing (scRNAseq) to push the boundaries of what we can learn about individual cells and how they function. scRNAseq...

Leveraging gene correlations in single cell transcriptomic data | BMC Bioinformatics

The significance of gene–gene correlationsThe statistical significance of correlations is rarely discussed because, for many common kinds of data—those that are continuous and at...

Biophysically interpretable inference of cell types from multimodal sequencing data

La Manno, G. et al. Molecular architecture of the developing mouse brain. Nature 596, 92–96 (2021).Chari, T. et al. Whole-animal multiplexed single-cell RNA-seq reveals...

Multiscale and multimodal evaluation of autosomal dominant polycystic kidney disease development

Figure 8 shows a temporal diagram including all the image acquisitions performed during the study.Fig. 8: Temporal diagram for image acquisitions.Diagram illustrating the timeline for...

Treatment resistance to melanoma therapeutics on a single cell level

Cell line treatment model, genomic landscape of melanoma patients and tumor heterogeneity revealed by scRNA-seqWe procured 18 tumor samples from 15 individuals for this...

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