"Cellular heterogeneity" trang 1 - tải miễn phí từ tailieunhanh
Ebook Cellular heterogeneity: Methods and protocols

Ebook Cellular heterogeneity: Methods and protocols
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Intratumor heterogeneity index of breast carcinomas based on DNA methylation profiles

Intratumor heterogeneity index of breast carcinomas based on DNA methylation profiles
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A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies

A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies
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Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)

Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)
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Tracing cellular heterogeneity in pooled genetic screens via multi-level barcoding

Tracing cellular heterogeneity in pooled genetic screens via multi-level barcoding
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Serum HER2 extra-cellular domain, S100ß and CA 15-3 levels are independent prognostic factors in metastatic breast cancer patients

Serum HER2 extra-cellular domain, S100ß and CA 15-3 levels are independent prognostic factors in metastatic breast cancer patients
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Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data

Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data
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RESCUE: Imputing dropout events in singlecell RNA-sequencing data

RESCUE: Imputing dropout events in singlecell RNA-sequencing data
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Deblender: A semi−/unsupervised multioperational computational method for complete deconvolution of expression data from heterogeneous samples

Deblender: A semi−/unsupervised multioperational computational method for complete deconvolution of expression data from heterogeneous samples
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A computational approach to identify cellular heterogeneity and tissue-specific gene regulatory networks

A computational approach to identify cellular heterogeneity and tissue-specific gene regulatory networks
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SpatialDWLS: Accurate deconvolution of spatial transcriptomic data

SpatialDWLS: Accurate deconvolution of spatial transcriptomic data
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Benchmarking principal component analysis for large-scale single-cell RNA-sequencing

Benchmarking principal component analysis for large-scale single-cell RNA-sequencing
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MAST: A flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

MAST: A flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
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Beyond comparisons of means: Understanding changes in gene expression at the single-cell level

Beyond comparisons of means: Understanding changes in gene expression at the single-cell level
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Digitally deconvolving the tumor microenvironment

Digitally deconvolving the tumor microenvironment
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A statistical approach for identifying differential distributions in single-cell RNA-seq experiments

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
15    29    1
XCell: Digitally portraying the tissue cellular heterogeneity landscape

XCell: Digitally portraying the tissue cellular heterogeneity landscape
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Patterns of ribosomal protein expression specify normal and malignant human cells

Patterns of ribosomal protein expression specify normal and malignant human cells
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SCoPE-MS: Mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation

SCoPE-MS: Mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation
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Challenges and emerging directions in single-cell analysis

Challenges and emerging directions in single-cell analysis
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