3 Result(s)
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Shengquan Chen
Algorithms
Computer Appl. in Life Sciences
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Article
Open AccessEnClaSC: a novel ensemble approach for accurate and robust cell-type classification of single-cell transcriptomes
In recent years, the rapid development of single-cell RNA-sequencing (scRNA-seq) techniques enables the quantitative characterization of cell types at a single-cell resolution. With the explosive growth of the...
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Article
Open AccessVPAC: Variational projection for accurate clustering of single-cell transcriptomic data
Single-cell RNA-sequencing (scRNA-seq) technologies have advanced rapidly in recent years and enabled the quantitative characterization at a microscopic resolution. With the exponential growth of the number of...
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Article
Open AccessPredicting enhancers with deep convolutional neural networks
With the rapid development of deep sequencing techniques in the recent years, enhancers have been systematically identified in such projects as FANTOM and ENCODE, forming genome-wide landscapes in a series of ...
