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1 Ergebnisse
1
scRNASequest: an ecosystem of scRNA-seq analysis, visualiza..:
Kejie Li
;
Yu H. Sun
;
Zhengyu Ouyang
...
https://doi.org/10.1186/s12864-023-09332-2. , 2023
Link:
https://doi.org/10.1186/s12864-023-09332-2
RT Journal T1
scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:8f534c5f1fa14c889a7b21ee781902e7&Exemplar=1&LAN=DE A1 Kejie Li A1 Yu H. Sun A1 Zhengyu Ouyang A1 Soumya Negi A1 Zhen Gao A1 Jing Zhu A1 Wanli Wang A1 Yirui Chen A1 Sarbottam Piya A1 Wenxing Hu A1 Maria I. Zavodszky A1 Hima Yalamanchili A1 Shaolong Cao A1 Andrew Gehrke A1 Mark Sheehan A1 Dann Huh A1 Fergal Casey A1 Xinmin Zhang A1 Baohong Zhang PB BMC YR 2023 K1 Single-cell RNA-seq K1 Single-nucleus RNA-seq K1 Transcriptome K1 Data integration K1 Cell-type label transfer K1 Batch correction K1 Biotechnology K1 TP248.13-248.65 K1 Genetics K1 QH426-470 JF https://doi.org/10.1186/s12864-023-09332-2 LK http://dx.doi.org/https://doi.org/10.1186/s12864-023-09332-2 DO https://doi.org/10.1186/s12864-023-09332-2 SF ELIB - SuUB Bremen
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