Characterizing the replicability of cell types defined by single cell RNA-sequencing data using MetaNeighbor

Single cell RNA-sequencing analysis poses challenges in replication due to technical biases and analytic variability among bioinformatics pipelines. Here, Crow et al develop MetaNeighbor for measuring cell-type replication across datasets, and use it to identify marker genes for neuron subtypes with...

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Autores principales: Megan Crow, Anirban Paul, Sara Ballouz, Z. Josh Huang, Jesse Gillis
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/67fefc8fb1054363be1ef3aa5f0f083c
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Sumario:Single cell RNA-sequencing analysis poses challenges in replication due to technical biases and analytic variability among bioinformatics pipelines. Here, Crow et al develop MetaNeighbor for measuring cell-type replication across datasets, and use it to identify marker genes for neuron subtypes with evidence of replication.