"Single cell genomics data" trang 1 - tải miễn phí từ tailieunhanh
Sfaira accelerates data and model reuse in single cell genomics

Sfaira accelerates data and model reuse in single cell genomics
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Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data

Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data
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SCMC learns biological variation through the alignment of multiple single-cell genomics datasets

SCMC learns biological variation through the alignment of multiple single-cell genomics datasets
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Single cell RNA-seq data clustering using TF-IDF based methods

Single cell RNA-seq data clustering using TF-IDF based methods
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CSS: Cluster similarity spectrum integration of single-cell genomics data

CSS: Cluster similarity spectrum integration of single-cell genomics data
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Millefy: Visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets

Millefy: Visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets
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Hierarchicell: An R-package for estimating power for tests of differential expression with single-cell data

Hierarchicell: An R-package for estimating power for tests of differential expression with single-cell data
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TSEE: An elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data

TSEE: An elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data
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SCReadCounts: Estimation of cell-level SNVs expression from scRNA-seq data

SCReadCounts: Estimation of cell-level SNVs expression from scRNA-seq data
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Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data

Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data
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Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data

Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data
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Rapid single cell evaluation of human disease and disorder targets using REVEAL: SingleCell

Rapid single cell evaluation of human disease and disorder targets using REVEAL: SingleCell
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Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks

Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks
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MethylStar: A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing data

MethylStar: A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing data
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Cloud accelerated alignment and assembly of full-length single-cell RNA-seq data using Falco

Cloud accelerated alignment and assembly of full-length single-cell RNA-seq data using Falco
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Human genes escaping X-inactivation revealed by single cell expression data

Human genes escaping X-inactivation revealed by single cell expression data
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Mosaic autosomal aneuploidies are detectable from single-cell RNAseq data

Mosaic autosomal aneuploidies are detectable from single-cell RNAseq data
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Characteristics of allelic gene expression in human brain cells from single-cell RNA-seq data analysis

Characteristics of allelic gene expression in human brain cells from single-cell RNA-seq data analysis
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MichiGAN: Sampling from disentangled representations of single-cell data using generative adversarial networks

MichiGAN: Sampling from disentangled representations of single-cell data using generative adversarial networks
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High-throughput ChIPmentation: Freely scalable, single day ChIPseq data generation from very low cell-numbers

High-throughput ChIPmentation: Freely scalable, single day ChIPseq data generation from very low cell-numbers
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