[HTML][HTML] Delineating biological and technical variance in single cell expression data

Á Arzalluz-Luque, G Devailly, A Mantsoki… - The international journal …, 2017 - Elsevier
Single cell transcriptomics is becoming a common technique to unravel new biological
phenomena whose functional significance can only be understood in the light of differences …

The added value of single-cell gene expression profiling

A Ståhlberg, V Rusnakova… - Briefings in functional …, 2013 - academic.oup.com
Cells are the basic unit of life and they have remarkable abilities to respond individually as
well as in concert to internal and external stimuli in a specific manner. Studying complex …

A brief review of single-cell transcriptomic technologies

T Kalisky, S Oriel, TH Bar-Lev… - Briefings in …, 2018 - academic.oup.com
In recent years, there has been an effort to develop new technologies for measuring gene
expression and sequence information from thousands of individual cells. Large data sets …

[HTML][HTML] Single cells make big data: new challenges and opportunities in transcriptomics

P Angerer, L Simon, S Tritschler, FA Wolf… - Current opinion in …, 2017 - Elsevier
Recent technological advances have enabled unprecedented insight into transcriptomics at
the level of single cells. Single cell transcriptomics enables the measurement of …

Single-cell sequencing leads a new era of profiling transcriptomic landscape

H Zhang, N Cui, Y Cai, F Lei… - Journal of Bio-X Research, 2018 - journals.lww.com
Understanding the complexity of biological systems requires a comprehensive analysis of
their cell populations. Ideally, this should be done at the single cell level, because bulk …

Single cell transcriptomics comes of age

S Aldridge, SA Teichmann - Nature communications, 2020 - nature.com
Single cell transcriptomics technologies have vast potential in advancing our understanding
of biology and disease. Here, Sarah Aldridge and Sarah Teichmann review the last decade …

Computational approaches for high‐throughput single‐cell data analysis

H Todorov, Y Saeys - The FEBS journal, 2019 - Wiley Online Library
During the past decade, the number of novel technologies to interrogate biological systems
at the single‐cell level has skyrocketed. Numerous approaches for measuring the proteome …

cgCorrect: a method to correct for confounding cell–cell variation due to cell growth in single-cell transcriptomics

T Blasi, F Buettner, MK Strasser, C Marr… - Physical Biology, 2017 - iopscience.iop.org
Accessing gene expression at a single-cell level has unraveled often large heterogeneity
among seemingly homogeneous cells, which remains obscured when using traditional …

[HTML][HTML] Algorithmic advances in machine learning for single-cell expression analysis

S Oller-Moreno, K Kloiber, P Machart, S Bonn - Current Opinion in Systems …, 2021 - Elsevier
Numerous recent insights into the complex and dynamic cellular signatures of biological
function, development and disease are owed to technical advances in single cell …

Big data analytics in single‐cell transcriptomics: Five grand opportunities

N Bhattacharya, CC Nelson, G Ahuja… - … Reviews: Data Mining …, 2021 - Wiley Online Library
Single‐cell omics technologies provide biologists with a new dimension for systematically
dissecting the underlying complexities within biological systems. These powerful …