Results 31 to 40 of about 183,994 (309)
Probing infectious disease by single-cell RNA sequencing: Progresses and perspectives
The increasing application of single-cell RNA sequencing (scRNA-seq) technology in life science and biomedical research has significantly increased our understanding of the cellular heterogeneities in immunology, oncology and developmental biology.
Geyang Luo +3 more
doaj +1 more source
scRNA-seq data of day 12 adult mouse wound healing
scRNA-seq data of day 12 adult mouse wound healing used in CellChat ...
Suoqin Jin (14184602)
core +1 more source
Single-cell RNA-sequencing (scRNA-seq) technologies enable the measurements of gene expressions in individual cells, which is helpful for exploring cancer heterogeneity and precision medicine.
Meng Huang +5 more
doaj +1 more source
scRNA-Seq of SVZ cell niches after mTBI.
SVZ mRNA profiles of 8~10-week old mTBI mice were generated by scRNA-Seq.
Manrui Li (12916544)
core +1 more source
LARRY LT-scRNA-seq dataset formatted for fate prediction
LARRY LT-scRNA-seq dataset formatted for fate ...
Michael Vinyard (9505097)
core +1 more source
scRNA‐seq is on track for use as a routine measurement of clinical biochemistry and to assist in clinical decision‐making and guide the performance of molecular medicine, but there are still a large number of challenges to be overcome.
Hao Fang +5 more
doaj +1 more source
Droplet scRNA-seq is not zero-inflated [PDF]
Potential users of single cell RNA-sequencing often encounter a choice between high-throughput droplet based methods and high sensitivity plate based methods. In particular there is a widespread belief that single-cell RNA-sequencing will often fail to generate measurements for particular gene, cell pairs due to molecular inefficiencies, causing data ...
openaire +3 more sources
We characterized the immune context in HPV+ and HPV− HNSCC by integrating scRNA-seq and bulk RNA-seq data.
Zhongqiu Wang (14801422)
core +1 more source
Background Single-cell RNA-sequencing (scRNA-seq) is fast becoming a powerful tool for profiling genome-scale transcriptomes of individual cells and capturing transcriptome-wide cell-to-cell variability.
Wenbin Ye +7 more
doaj +1 more source
hbctraining/scRNA-seq_online: Single Cell RNA-seq analysis
What's Changed adding dropdown previews Day1 by @mistrm82 in https://github.com/hbctraining/scRNA-seq_online/pull/64 adding snRNA-seq blurb to pre-reading by @mistrm82 in https://github.com/hbctraining/scRNA-seq_online/pull/63 adding Day 2 dropdowns by
Darío Hereñú +8 more
core +1 more source

