Results 1 to 10 of about 81,661 (282)
scBoolSeq: Linking scRNA-seq statistics and Boolean dynamics.
PLoS Computational Biology, 2023 Boolean networks are largely employed to model the qualitative dynamics of cell fate processes by describing the change of binary activation states of genes and transcription factors with time.
Gustavo Magaña-López +3 more
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scDrug: From single-cell RNA-seq to drug response prediction
Computational and Structural Biotechnology Journal, 2023 Single-cell RNA sequencing (scRNA-seq) technology allows massively parallel characterization of thousands of cells at the transcriptome level. scRNA-seq is emerging as an important tool to investigate the cellular components and their interactions in the
Chiao-Yu Hsieh +6 more
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RFCell: A Gene Selection Approach for scRNA-seq Clustering Based on Permutation and Random Forest
Frontiers in Genetics, 2021 In recent years, the application of single cell RNA-seq (scRNA-seq) has become more and more popular in fields such as biology and medical research. Analyzing scRNA-seq data can discover complex cell populations and infer single-cell trajectories in cell
Yuan Zhao +5 more
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Revealing cell fate decisions during reprogramming by scRNA-seq [PDF]
E3S Web of Conferences, 2020 Single-cell RNA sequencing (scRNA-seq) technologies serve as powerful tools to dissect cellular heterogeneity comprehensively. With the rapid development of scRNA-seq, many previously unsolved questions were answered by using scRNA-seq.
Liang Yu
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deMULTIplex2: robust sample demultiplexing for scRNA-seq [PDF]
Genome Biology, 2023 AbstractSingle-cell sample multiplexing technologies function by associating sample-specific barcode tags with cell-specific barcode tags, thereby increasing sample throughput, reducing batch effects, and decreasing reagent costs. Computational methods must then correctly associate cell-tags with sample-tags, but their performance deteriorates rapidly ...
Qin Zhu +2 more
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Microfluidics Facilitates the Development of Single-Cell RNA Sequencing
Biosensors, 2022 Single-cell RNA sequencing (scRNA-seq) technology provides a powerful tool for understanding complex biosystems at the single-cell and single-molecule level.
Yating Pan +3 more
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scRNA‐seq data analysis method to improve analysis performance
IET Nanobiotechnology, 2023 With the development of single‐cell RNA sequencing technology (scRNA‐seq), we have the ability to study biological questions at the level of the individual cell transcriptome.
Junru Lu +5 more
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The Application of Single-Cell RNA Sequencing in Mammalian Meiosis Studies
Frontiers in Cell and Developmental Biology, 2021 Meiosis is a cellular division process that produces gametes for sexual reproduction. Disruption of complex events throughout meiosis, such as synapsis and homologous recombination, can lead to infertility and aneuploidy.
Yiheng Peng, Huanyu Qiao
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DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species
Computational and Structural Biotechnology Journal, 2021 With the advent of single-cell RNA sequencing (scRNA-seq) technologies, there has been a spike in studies involving scRNA-seq of several tissues across diverse species including Drosophila.
Yanhui Hu +11 more
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Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review
Genomics, Proteomics & Bioinformatics, 2022 Single-cell RNA sequencing (scRNA-seq) has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously.
Matthew Brendel +5 more
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