Results 261 to 270 of about 81,661 (282)

The molecular complexity of deep vein thrombosis was preliminarily explored based on the ceRNA network, scRNA-seq and AlphaFold 2. [PDF]

BMC Med Genomics
Pan BZ, Luo QY, Jiang MJ, Ning D, Deng LM, Dai XP, Wu ZX, Deng ZH, Luo DY, Wang YY, Chen J, Xiong GZ, Bi GS.   +12 more
europepmc   +1 more source

Correction to 'inDrops-2: a flexible, versatile and cost-efficient droplet microfluidic approach for high-throughput scRNA-seq of fresh and preserved clinical samples'. [PDF]

Nucleic Acids Res
europepmc   +1 more source

Rethinking scRNA-seq Trajectories in Phylogenetic Paradigms: Overcoming Challenges of Missing Ancestral Information

Naas J, von Haeseler A, Elgert C.
europepmc   +1 more source

Cell motility influences microfluidics capturing in scRNA-seq

López-Escobar L, Nascimento AM, Figueiredo LM.   +2 more
europepmc   +1 more source

A Review of scRNA-seq Imputation Methods

Advances in Computer, Signals and Systems
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scRNA-seq for Microcephaly Research [III]: Computational Analysis of scRNA-seq Data

2022
Single-cell transcriptomic analysis (scRNA-seq) can enable researchers to explore the gene expression patterns of thousands of individual cells simultaneously. Processing the complex data generated by scRNA-seq requires specialized computational tools.
Benjamin, Babcock, Daniel, Malawsky
openaire   +2 more sources

Mouse heart scRNA-seq

2023
Mouse heart scRNA-seq data of different develop ...
openaire   +1 more source

Integration of scATAC-Seq with scRNA-Seq Data

2022
Single-cell studies are enabling our understanding of the molecular processes of normal cell development and the onset of several pathologies. For instance, single-cell RNA sequencing (scRNA-Seq) measures the transcriptome-wide gene expression at a single-cell resolution, allowing for studying the heterogeneity among the cells of the same population ...
Berest, Ivan, Tangherloni, Andrea
openaire   +3 more sources

Petang_Lab/scRNA-seq-T. vaginalis

These scripts was used to analyse the data for the publication "Single-cell Dissection of Trichomonasvirus-Host Interactions Reveals Viral Load-Driven Phenotypic Heterogeneity in Trichomonas vaginalis" by Luo et al. published in Cell Reports (2025).Send an e-mail to wayneluo0817@gmail.com if you have any questions.
Tang, Petrus, Luo, Hong Wei
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MeRIP-seq/scRNA-seq Code

These are the codes for MeRIP-seq/scRNA-seq analysis used in the paper titled "METTL3-Driven RNA Modifications: A Key Mechanism and Potential Therapeutic Target in Pancreatic Acinar Cell Carcinoma in Mice". The relevant GEO accession numbers are as follows: GSE305529, GSE305530.
Tatekawa, Shotaro, Hara, Tomoaki, Meng, Sikun, Sato, Tetsuya, Ishii, Hideshi   +4 more
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