Citations over time for multiplet-detection tools.

Citations over time for multiplet-detection tools.

<p>Number of citations per year for the multiplet-detection tools included in this study. DoubletFinder and Scrublet are by far the most popular choice for newer single-cell research.</p>

সংরক্ষণ করুন:

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক:	Dimitris Ttoouli (19668386) (author)
অন্যান্য লেখক:	Daniel Hoffmann (279623) (author)
প্রকাশিত:	2025
বিষয়গুলি:	Cell Biology Genetics Molecular Biology Biotechnology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified including multimodal validation improves annotation clarity impact remain underestimated fully remove artefacts exceed heuristic predictions datasets lack multiplexing common experimental contexts true multiplet rate multiplet contamination remains seq ), yet cell type annotation cell rna sequencing removal </ p robust multiplet seq data seq analysis expected cell transcriptional landscape small subset significantly affected qualitative approaches partial loss lower bound limited tools known artefact isolated clusters findings confirm effect sizes downstream analyses distributed throughout distort clustering detection strategies change correlation based single based model addressed issue actual rates
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