Single-cell sequencing is vital for studying complex diseases but is costly. Here, authors introduce scSemiProfiler, a deep generative learning framework that infers single-cell profiles by combining bulk sequencing with single-cell data from selected samples, offering a cost-effective solution.
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【저자키워드】 machine learning, Biotechnology, Computational models, Software, Data acquisition,
【저자키워드】 machine learning, Biotechnology, Computational models, Software, Data acquisition,