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Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

J Tanevski, T Nguyen, B Truong… - Life Science …, 2020 - life-science-alliance.org
Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very
informative, in standard scRNAseq experiments, the spatial organization of the cells in the …
被引用次数：19 相关文章

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

J Tanevski, A Gabor, J Saez-Rodriguez, T Yu… - Life Science …, 2020 - elibrary.ru
Gene selection for optimal prediction of cell position in tissues from single-cell
transcriptomics data КОРЗИНА ПОИСК НАВИГАТОР ЖУРНАЛЫ КНИГИ ПАТЕНТЫ …

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data.

J Tanevski, T Nguyen, B Truong, N Karaiskos… - 2020 - jdc.jefferson.edu
Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very
informative, in standard scRNAseq experiments, the spatial organization of the cells in the …

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data.

J Tanevski, T Nguyen, B Truong, N Karaiskos… - 2020 - mouseion.jax.org
Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very
informative, in standard scRNAseq experiments, the spatial organization of the cells in the …
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[HTML][HTML] Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

J Tanevski, T Nguyen, B Truong, N Karaiskos… - Life Science …, 2020 - ncbi.nlm.nih.gov
Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very
informative, in standard scRNAseq experiments, the spatial organization of the cells in the …
[PDF] archive.org

[PDF][PDF] Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data.

J Tanevski, T Nguyen, B Truong, N Karaiskos… - scholar.archive.org
The recent advances in single-cell sequencing technologies have revolutionized the
biological sciences. In particular, single-cell RNA-sequencing (scRNAseq) methods allow …

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

J Tanevski, T Nguyen, B Truong, N Karaiskos… - Life Science …, 2020 - research.ibm.com
Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very
informative, in standard scRNAseq experiments, the spatial organization of the cells in the …

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

J Tanevski, T Nguyen, B Truong… - Life Science …, 2020 - edoc.mdc-berlin.de
Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very
informative, in standard scRNAseq experiments, the spatial organization of the cells in the …

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

J Tanevski, T Nguyen, B Truong, N Karaiskos… - 2020 - katalog.ub.uni-heidelberg.de
Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very
informative, in standard scRNAseq experiments, the spatial organization of the cells in the …

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data.

J Tanevski, T Nguyen, B Truong, N Karaiskos… - Life Science …, 2020 - europepmc.org
Single-cell RNA-sequencing (scRNAseq) technologies are rapidly evolving. Although very
informative, in standard scRNAseq experiments, the spatial organization of the cells in the …