Sok szerencsét Fodor Nyílhegy bulk sequencing single cell deconvolution analysis bizonyság fémes Olyan gyorsan, mint egy vaku
Multi-subject single cell deconvolution • MuSiC
Deconvolution | RNA-Seq Blog
Deconvolution of Bulk RNA-Seq Data Based on Deep Learning • digitalDLSorteR
Cells | Free Full-Text | An Efficient and Flexible Method for Deconvoluting Bulk RNA-Seq Data with Single-Cell RNA-Seq Data
CDSeq – A novel complete deconvolution method for dissecting heterogeneous samples using gene expression data | RNA-Seq Blog
Deep-learning-based cell composition analysis from tissue expression profiles | bioRxiv
Breathing fresh air into respiratory research with single-cell RNA sequencing | European Respiratory Society
Genes | Free Full-Text | The Power of Single-Cell RNA Sequencing in eQTL Discovery
Deconvolution | RNA-Seq Blog
Illustration of popular methods used to analyse bulk and single-cell... | Download Scientific Diagram
A novel computational complete deconvolution method using RNA-seq data | bioRxiv
Implication of specific retinal cell-type involvement and gene expression changes in AMD progression using integrative analysis of single-cell and bulk RNA-seq profiling | Scientific Reports
Integrative single-cell and bulk RNA-seq analysis in human retina identified cell type-specific composition and gene expression changes for age-related macular degeneration | bioRxiv
EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single- cell RNA-Seq data | Genome Biology | Full Text
Detecting cell-type-specific allelic expression imbalance by integrative analysis of bulk and single-cell RNA sequencing data | PLOS Genetics
Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants | Nature Communications
A protocol to extract cell-type-specific signatures from differentially expressed genes in bulk-tissue RNA-seq: STAR Protocols
A systematic evaluation of single-cell RNA-sequencing imputation methods | Genome Biology | Full Text
Frontiers | Identification and Validation of a Malignant Cell Subset Marker-Based Polygenic Risk Score in Stomach Adenocarcinoma Through Integrated Analysis of Bulk and Single-Cell RNA Sequencing Data
Benchmarking of cell type deconvolution pipelines for transcriptomics data | Nature Communications
Benchmarking of cell type deconvolution pipelines for transcriptomics data | Nature Communications
BingleSeq: a user-friendly R package for bulk and single-cell RNA-Seq data analysis [PeerJ]
Bulk tissue cell type deconvolution with multi-subject single-cell expression reference | Nature Communications