(h) tSNE projection of all GFP + cells color-coded by clusters ... aggregated expression of indicated genes partitioned by clusters. Taken together, our scRNA-seq profiling from two different genetic ...

There are many heatmaps and tSNE / UMAP plots with unhelpful labels and no statistical ... placental villi in the presence and absence of spontaneous labor at term by scRNA-seq (Miller 2022)" (lines ...

scRNA-seq analysis was conducted on primary gastric cancer samples ... Subsequent steps involved dimensionality reduction techniques, encompassing UMAP, TSNE, and the Louvain clustering algorithm, all ...

Subsequently, using these TME features as a reference, we reconstructed the TME profiles for each patient from bulk RNA-seq data in the TCGA-GBM and TCGA ... Rscript EcoTyper_discovery_bulk.R -c ...

The ability of single-cell RNA sequencing (scRNA-Seq) to measure gene expression in thousands of individual cells simultaneously provides a way to study the differing pathological changes in cell ...

Here, we report the molecular programmes and lineage progression patterns controlling human OA pathogenesis using single-cell RNA sequencing (scRNA-seq). Methods We performed unbiased ...

[1] Policar, P. G., Strazar, M., & Zupan, B. (2019). openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding. BioRxiv, 731877. (with ...