Single-Cell Transcriptome Profiling

G Shapira, N Shomron - Deep Sequencing Data Analysis, 2021 - Springer
Over the last decade, single cell RNA sequencing (scRNAseq) became an increasingly
viable solution for analyzing cellular heterogeneity and cell-specific expression differences …

Quantitative single-cell transcriptomics

C Ziegenhain, B Vieth, S Parekh… - Briefings in …, 2018 - academic.oup.com
Single-cell RNA sequencing (scRNA-seq) is currently transforming our understanding of
biology, as it is a powerful tool to resolve cellular heterogeneity and molecular networks …

Single-cell RNA sequencing analysis: a step-by-step overview

S Slovin, A Carissimo, F Panariello, A Grimaldi… - RNA bioinformatics, 2021 - Springer
Thanks to innovative sample-preparation and sequencing technologies, gene expression in
individual cells can now be measured for thousands of cells in a single experiment. Since its …

[HTML][HTML] Practical bioinformatics pipelines for single-cell RNA-seq data analysis

J He, L Lin, J Chen - Biophysics Reports, 2022 - ncbi.nlm.nih.gov
Single-cell RNA sequencing (scRNA-seq) is a revolutionary tool to explore cells. With an
increasing number of scRNA-seq data analysis tools that have been developed, it is …

Introduction to Single-Cell RNA-seq Data Analysis

K Raza - Machine Learning in Single-Cell RNA-seq Data …, 2024 - Springer
This chapter provides an essential overview of single-cell sequencing, a revolutionary
technology that enables the study of individual cell genomes and transcriptomes, revealing …

Statistical and Machine Learning Contributions to the Analysis of Single-Cell RNA Sequencing Data

S Cui - 2024 - search.proquest.com
Single-cell RNA sequencing (scRNA-seq) has become widely adopted as a powerful
technology enabling whole transcriptome profiling of individual cells. Nevertheless, the …

scExplorer: A Comprehensive Web Server for Single-Cell RNA Sequencing Data Analysis

SFH Galaz Sr, AH Olivera Sr, F Villanelo Sr, A Lladser… - bioRxiv, 2024 - biorxiv.org
Single-cell RNA sequencing (scRNA-seq) has redefined our ability to investigate cellular
heterogeneity at unprecedented resolution. However, the computational analysis required …

Introduction to single‐cell RNA sequencing

TK Olsen, N Baryawno - Current protocols in molecular biology, 2018 - Wiley Online Library
During the last decade, high‐throughput sequencing methods have revolutionized the entire
field of biology. The opportunity to study entire transcriptomes in great detail using RNA …

Computational Analysis of Single-Cell RNA-Seq Data

B Hwang - Transcription Factor Regulatory Networks, 2022 - Springer
Single-cell RNA sequencing (scRNA-seq) is gaining popularity as this allows you to profile a
large number of individual cells. However, as the volume of the data increases, the need for …

Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data

TS Andrews, VY Kiselev, D McCarthy, M Hemberg - Nature protocols, 2021 - nature.com
Single-cell RNA sequencing (scRNA-seq) is a popular and powerful technology that allows
you to profile the whole transcriptome of a large number of individual cells. However, the …