Data analytic study of the genetic mechanism of ovarian carcinoma using single-cell RNA-seq data

DOI10.1007/978-981-16-4866-3_22zbMath1497.92121OpenAlexW3193941389MaRDI QIDQ2088530

Hiroatsu Hayashi, Yoko Tominaga, Shu-Ji Kawasaki

Publication date: 22 October 2022

Full work available at URL: https://doi.org/10.1007/978-981-16-4866-3_22

zbMATH Keywords

TGF-\(\beta\)distance and direction of vectorssc RNA-seq data

Mathematics Subject Classification ID

Medical applications (general) (92C50) Protein sequences, DNA sequences (92D20) Mathematical modeling or simulation for problems pertaining to biology (92-10)

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