- An integrated single|cell transcriptomic dataset for non|small cell ...🔍
- [PDF] An integrated single|cell transcriptomic dataset for non|small ...🔍
- Single|cell and spatial transcriptomics analysis of non|small ...🔍
- An integrated single|cell transcriptomic dataset for non ...🔍
- An integrated single|cell transcriptomic dataset for non|small ...🔍
- Integrated Bulk and Single|cell RNA Sequencing Data Constructs ...🔍
- Integrated analysis of single|cell and bulk RNA sequencing data ...🔍
- Single cell transcriptomic analysis reveals tumor immune infiltration ...🔍
An integrated single|cell transcriptomic dataset for non|small cell ...
An integrated single-cell transcriptomic dataset for non-small cell ...
As single-cell RNA sequencing (scRNA-seq) has emerged as a great tool for studying cellular heterogeneity within the past decade, ...
[PDF] An integrated single-cell transcriptomic dataset for non-small ...
A large integrated scRNA-seq dataset containing 224611 cells from human primary non-small cell lung cancer (NSCLC) tumors is presented, which may serve as a ...
An integrated single-cell transcriptomic dataset for non-small cell ...
An integrated single-cell transcriptomic dataset for non-small cell lung cancer.
Single-cell and spatial transcriptomics analysis of non-small ... - Nature
C UMAP projection of tumour and combined background+healthy datasets. D Dotplot of representative genes used for broad cell-type annotations in ...
(PDF) An integrated single-cell transcriptomic dataset for non-small ...
Here, we present a large integrated scRNA-seq dataset containing 224,611 cells from human primary non-small cell lung cancer (NSCLC) tumors.
An integrated single-cell transcriptomic dataset for non ... - Figshare
An integrated single-cell transcriptomic dataset for non-small cell lung cancer. +Follow. Published on 2022-09-27 - 22:30 by Karolina Prazanowska.
An integrated single-cell transcriptomic dataset for non-small ... - OUCI
AbstractAs single-cell RNA sequencing (scRNA-seq) has emerged as a great tool for studying cellular heterogeneity within the past decade, the number of ...
Integrated Bulk and Single-cell RNA Sequencing Data Constructs ...
Background: Most of the current research on prognostic model construction for non-small cell lung cancer (NSCLC) only involves in bulk RNA-seq data without ...
Integrated analysis of single-cell and bulk RNA sequencing data ...
Sig genes was further explored using 17 CRISPR datasets that screened potential immunotherapy targets. Results. Cancer stemness, as evaluated by ...
Single cell transcriptomic analysis reveals tumor immune infiltration ...
Prazanowska, K.H. ∙ Lim, S.B.. An integrated single-cell transcriptomic dataset for non-small cell lung cancer. Sci. Data. 2023; 10:167. Crossref · Scopus (12).
High-resolution single-cell atlas reveals diversity and plasticity of ...
Duan, et al. Single-cell transcriptome and antigen-immunoglobin analysis reveals the diversity of B cells in non-small cell lung cancer.
The single-cell lung cancer atlas (LuCA) - CELLxGENE
ApplicationCollectionsDatasetsGene ExpressionCell ... non-small cell lung cancer. The integrated NSCLC transcriptome atlas provides more than 1.2M cells ...
Integrated analysis of single cell transcriptomic data across ... - bioRxiv
(iii) It aligns the two datasets into a conserved low-dimensional space, using non ... small populations of immune cells (human mast cells ...
Comprehensive Integration of Multiple Single-Cell Transcriptomic ...
We have performed a conservative integration of multiple published single-cell RNA sequencing data sets into a single meta-analysis.
TISCH: a comprehensive web resource enabling interactive single ...
R. et al. . Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing . ... R. Integrating single-cell transcriptomic data ...
Comprehensive Integration of Single-Cell Data
Lastly, we harmonize in situ gene expression and scRNA-seq datasets, allowing transcriptome-wide imputation of spatial gene expression patterns.
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 ...
Single-Cell and Low-Input RNA-Seq - Illumina
Robust transcriptome analysis down to single-cell input levels for high-quality samples · Integrated protocol proceeds directly from whole cells and preserves ...
A systematic overview of single-cell transcriptomics databases, their ...
(2022) established a large non-small cell lung cancer (NSCLC) atlas comprising 29 datasets spanning 1,283,972 single cells from 556 samples. Although this ...
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 ...