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Translating single-cell genomics into cell types
Nature Machine Intelligence, 2023Machine translation of languages can now automatically detect different cell types from single-cell transcriptomic data. Such a feat opens the prospect of dissecting complex clinical samples such as heterogenous tumours at scale. ; J.N.T. acknowledge support from the King Abdullah University of Science and Technology.
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Single-Cell Genomics Unravels Brain Cell-Type Complexity
2017The brain is the most complex tissue in terms of cell types that it comprises, to the extent that it is still poorly understood. Single cell genome and transcriptome profiling allow to disentangle the neuronal heterogeneity, enabling the categorization of individual neurons into groups with similar molecular signatures.
Amy, Guillaumet-Adkins, Holger, Heyn
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Single-cell transcriptomics reveals cell type diversity of human prostate
Journal of Genetics and Genomics, 2022Extensive studies have been performed to describe the phenotypic changes occurring during malignant transformation of the prostate. However, the cell types and associated changes that contribute to the development of prostate diseases and cancer remain elusive, largely due to the heterogeneous composition of prostatic tissues.
Yang Chen +16 more
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SCOTv2: Single-Cell Multiomic Alignment with Disproportionate Cell-Type Representation
Journal of Computational Biology, 2022Multiomic single-cell data allow us to perform integrated analysis to understand genomic regulation of biological processes. However, most single-cell sequencing assays are performed on separately sampled cell populations, as applying them to the same single-cell is challenging. Existing unsupervised single-cell alignment algorithms have been primarily
Pinar Demetci +4 more
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