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

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

Integrated single-cell transcriptomic analyses identify a novel lineage plasticity-related cancer cell type involved in prostate cancer progression.

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

Integrated single-cell transcriptomic analyses identify a novel lineage plasticity-related cancer cell type involved in prostate cancer ...

Integrated Single-Cell Transcriptomic Analyses Identify a Novel ...

Our study uncovers a novel population of lineage plasticity-related cells with low AR activity, stemness-like traits, and elevated HMMR expression.

Integrated Single-Cell Transcriptomic Analyses Identify a Novel ...

Request PDF | On Jan 1, 2024, Faming Zhao and others published Integrated Single-Cell Transcriptomic Analyses Identify a Novel Lineage ...

Integrating machine learning and single-cell transcriptomic analysis ...

This study employs machine learning and single-cell transcriptome sequencing (scRNA-seq) analysis to unearth novel biomarkers and delineate ...

Integrated analysis of single-cell and bulk transcriptome identifies a ...

This study aimed to construct an NK cell marker gene signature (NKMS) to predict prognosis and therapeutic response of clear cell renal cell carcinoma (ccRCC) ...

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, ...

Integrated Single-Cell Transcriptomic Analyses Identify a Novel ...

Integrated Single-Cell Transcriptomic Analyses Identify a Novel Lineage Plasticity-Related Cancer Cell Type Involved in Prostate Cancer Progression · Faming ...

Integration of single-cell datasets reveals novel transcriptomic ...

Overall, the present study encourages the pursuit of single β-cell RNA-seq analysis, preventing presently identified sources of variability, to ...

Integrated analysis of single-cell and bulk transcriptome identifies a ...

Integrated analysis of single-cell and bulk transcriptome identifies a signature based on NK cell marker genes to predict prognosis and therapeutic response ...

Integrative analysis of spatial and single-cell transcriptome data from ...

... transcriptome analysis of pancreatic cancer. Among those subclusters, we identified a novel cancer cell subcluster, Ep_VGLL1, showing ...

Integrated analysis of multimodal single-cell data - ScienceDirect.com

Our approach represents a broadly applicable strategy to analyze single-cell multimodal datasets and to look beyond the transcriptome toward a ...

Integrated transcriptome and proteome analyses identify novel ...

In order to obtain the proteomic and transcriptomic data, we performed label-free proteome analysis on freshly isolated nucleus pulposus cells ...

Integrated analysis of single cell transcriptomic data across ... - bioRxiv

In concert with novel computational approaches, these datasets can be used for unsupervised discovery of cell types and states56, the ...

NBAtlas: A harmonized single-cell transcriptomic reference atlas of ...

Here, we present a meta-analysis of published neuroblastoma single-cell and single-nucleus RNA datasets that are integrated into a harmonized single-cell ...

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

Analysis of gene expression profiles in these experiments provides two essential types of data for cell type annotation: annotated references ...

Integrating physiological and transcriptomic analyses at the single ...

A sequence of experiments, including in vivo recording and/or labeling, brain tissue slicing, cell collection, and transcriptomic analysis, have ...

[PDF] Integrated analysis of single cell transcriptomic data across ...

A new computational strategy for scRNA-seq alignment is introduced, utilizing common sources of variation to identify shared subpopulations between datasets ...

Single cell transcriptomic analysis reveals tumor immune infiltration ...

We identified eight genes (SPON2, PLEKHG3, CAMK2N1, RAB27B, CTBP2, EFHD2, GOLM1, and PLOD1) that distinguish NK1 from NK2 cells. A prognostic signature, the NK ...

Identification of novel myeloid-derived cell states with implication in ...

We integrated single-cell RNA-Sequencing datasets from seven different cancers, resulting in a comprehensive collection of 29 MDC subpopulations ...