An integrated single|cell transcriptomic dataset for non|small cell ...

CellSTAR: a comprehensive resource for single-cell transcriptomic ...

(A) Similarity measurement: it involves quantifying the similarity between gene expression profiles of reference and query datasets, which ...

Integrated spatial and multimodal single‐cell transcriptomics reveal ...

Among them, SMZL is characterized by a proliferation of small lymphomatous B-cells infiltrating the spleen and bone marrow, and involving ...

An integrated single-cell atlas of the limb skeleton from development ...

The recent growth of single-cell transcriptomics has turned single-cell RNA sequencing (scRNA-seq) into a near-routine experiment. Breakthroughs ...

Lost in space: what single-cell RNA sequencing cannot tell you

Moncada et al. extensively integrated spatial transcriptomics with scRNA-seq datasets, developing a methodology referred to as 'multimodal intersection analysis ...

Integrated single-cell transcriptomic analyses identify a novel ...

In this work, we established a lineage plasticity-related gene signature (LPSig) using 3314 PCa samples from 13 multi-center public transcriptomic datasets of ...

Single-cell transcriptomics - Wikipedia

Single-cell transcriptomics examines the gene expression level of individual cells in a given population by simultaneously measuring the RNA concentration ...

Bioinformatics analysis and single-cell RNA sequencing: elucidating ...

In this study, we integrated genomic and transcriptomic data from single-cell ... Global characterization of T cells in non-small-cell lung cancer ...

Breathing fresh air into respiratory research with single-cell RNA ...

Rapid advances in spatial transcriptomics, epigenomics, proteomics and metabolomics provide the opportunity for an integrated multi-omic approach to ...

Single Cell Portal

snRNA-seq dataset of half a million cells from the cardiovascular system of the healthy Wistar rat (Rattus norvegicus), including the four chambers of the ...

Single Cell Expression Atlas – Release notes - EMBL-EBI

This release contains 381 single cell RNA-Seq studies, consisting of 24,323,556 cells, of which 13,519,191 passed our QC from 21 different species. Software ...

Single-Cell Transcriptomics Reveals Pre-existing COVID-19 ...

19.0) for integration and annotation of scRNA-seq datasets (19–21). Each COVID-19 and lung cancer dataset was individually mapped onto the HLCA reference to ...

Integrative single-cell transcriptomic investigation unveils long non ...

Original datasets are colored in an integrated visualization and separated visualization (B). (C) Normalized gene expression defining each cell ...

seandavi/awesome-single-cell - GitHub

Signac can: map cells from one data set to another, classify non ... MATCHER - [python] - MATCHER: An algorithm for integrating single cell transcriptomic and ...

Integrated analysis of single-cell chromatin state and transcriptome ...

Due to the small number of cells harboring these amplifications, we assessed the gene expression at the cluster level instead of at the single- ...

A single-cell characterised signature integrating heterogeneity and ...

∙ et al. Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing ... ∙ et al. Single-cell transcriptome and antigen ...

Integration of spatial and single-cell transcriptomics localizes ...

We first optimized coordination of spatial transcriptomics and single-nuclear sequencing data sets, mapping 30 dominant cell types to a human nephrectomy.

Characterization of the tumor microenvironment by single-cell RNA ...

Neo-adjuvant immunotherapy (IO) in non-small cell lung cancer (NSCLC). Neo ...

Meta-Analysis of Human Cancer Single-Cell RNA-Seq Datasets ...

... non–small cell lung cancer (NSCLC; Fig. 3A–C). On ... Integrating single-cell transcriptomic data across different conditions, technologies, and species.

Single cell transcriptomics - Cell type annotation (7 of 10) - YouTube

The video was recorded live during the SIB course “Single cell Transcriptomics” streamed on 06-08 March 2023. The course materials can be ...

Scanorama: Integrating large and diverse single-cell transcriptomic ...

Scanorama: Integrating large and diverse single-cell transcriptomic datasets @brianhie ... For the small-scale dataset, we used 293T cells, ... technical or non ...