Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling [PDF]
BMC Bioinformatics, 2021 Background The research landscape of single-cell and single-nuclei RNA-sequencing is evolving rapidly. In particular, the area for the detection of rare cells was highly facilitated by this technology.
Saptarshi Bej +4 more
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Bayesian information sharing enhances detection of regulatory associations in rare cell types. [PDF]
Bioinformatics, 2021 Abstract Motivation Recent advances in single-cell RNA-sequencing (scRNA-seq) technologies promise to enable the study of gene regulatory associations at unprecedented resolution in diverse cellular contexts.
Wu AP, Peng J, Berger B, Cho H.
europepmc +4 more sources
scSID: A lightweight algorithm for identifying rare cell types by capturing differential expression from single-cell sequencing data [PDF]
Computational and Structural Biotechnology JournalSingle-cell RNA sequencing (scRNA-seq) is currently an important technology for identifying cell types and studying diseases at the genetic level. Identifying rare cell types is biologically important as one of the downstream data analyses of single-cell
Shudong Wang +8 more
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GiniClust: detecting rare cell types from single-cell gene expression data with Gini index. [PDF]
Genome Biol, 2016 High-throughput single-cell technologies have great potential to discover new cell types; however, it remains challenging to detect rare cell types that are distinct from a large population. We present a novel computational method, called GiniClust, to overcome this challenge.
Jiang L, Chen H, Pinello L, Yuan GC.
europepmc +5 more sources
Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types [PDF]
Nature Communications, 2017 Single cell profiling yields high dimensional data of very large numbers of cells, posing challenges of visualization and analysis. Here the authors introduce a method for analysis of mass cytometry data that can handle very large datasets and allows ...
Vincent van Unen +8 more
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An optimized dissociation protocol for FACS-based isolation of rare cell types from Caenorhabditis elegans L1 larvae [PDF]
MethodsX, 2020 Single-cell isolation and transcriptomic analysis of a specific cell type or tissue offers the possibility of studying cell function and heterogeneity in time-dependent processes with remarkable resolution.
Euclides E. Fernandes Póvoa +4 more
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GiniClust3: a fast and memory-efficient tool for rare cell type identification [PDF]
BMC Bioinformatics, 2020 Background With the rapid development of single-cell RNA sequencing technology, it is possible to dissect cell-type composition at high resolution. A number of methods have been developed with the purpose to identify rare cell types.
Rui Dong, Guo-Cheng Yuan
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Rare Pulmonary Connective Tissue Type Mast Cells Regulate Lung Endothelial Cell Angiogenesis [PDF]
The American Journal of Pathology, 2020 Within the human lung, mast cells typically reside adjacent to the conducting airway and assume a mucosal phenotype (MCT). In rare pathologic conditions, connective tissue phenotype mast cells (MCTCs) can be found in the lung parenchyma. MCTCs accumulate in the lungs of infants with severe bronchopulmonary dysplasia, a chronic lung disease associated ...
Yue Ren +5 more
openaire +2 more sources
Pulmonary Large Cell Neuroendocrine Carcinoma: A Rare Type of Non-Small Cell Lung Cancer [PDF]
Cureus, 2021 Pulmonary large cell neuroendocrine carcinoma (LCNEC) is an uncommon type of non-small cell lung cancer (NSCLC) with an incidence of approximately 3% of all lung cancer diagnoses. The patient was a 60-year-old male with a 90-pack year smoking history who presented with dyspnea on exertion and productive cough for five weeks.
Ng, Thomas G +4 more
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African Journal of Laboratory Medicine, 2021 Background: Molecular red cell genotyping is devoid of serology limitations such as the scarcity of rare antisera and the possibility of inconclusive results due to biological interferences.
Lavendri Govender +3 more
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