Abstract
Single-cell RNA sequencing (scRNA-seq) is gaining popularity as this allows you to profile a large number of individual cells. However, as the volume of the data increases, the need for appropriate computational methods also arises. Here, I will provide an overview of standard computational workflow for scRNA-seq and discuss each step and provide useful tips if applicable.
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Hwang, B. (2023). Computational Analysis of Single-Cell RNA-Seq Data. In: Song, Q., Tao, Z. (eds) Transcription Factor Regulatory Networks. Methods in Molecular Biology, vol 2594. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2815-7_12
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DOI: https://doi.org/10.1007/978-1-0716-2815-7_12
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