Session Talk

propeller: finding statistically significant differences in cell type proportions in single cell RNA-seq experiments

Belinda Phipson, Evangelyn Sim, Enzo Porrello, Alicia Oshlack
Single cell RNA Sequencing (scRNA-seq) has rapidly...

#single cell #transcriptomics #statistics

Using single-cell cytometry to illustrate the generalisable unbiased evaluation of clustering algorithms using Pareto fronts

Givanna Putri, Irena Koprinska, Thomas Ashhurst, Nicholas King, Mark Read
Clustering is widely used in biological fields suc...

#single cell #cytometry #clustering #benchmarking

TrackSOM: immunopathogenic temporal mapping through clustering time-series cytometry data

Givanna H. Putri, Jonathan Chung, Davis N. Edwards, Felix Marsh-Wakefield, Suat Dervish, Irena Koprinska, Nicholas J.C. King, Thomas M. Ashhurst, Mark Read
Disease, and our immune response to it, are dynami...

#single cell #clustering #machine learning #cytometry #immunology

Systematic evaluation for metrics of gene expression variability in single-cell RNA sequencing data

Huiwen Zheng, Atefeh Taherian Fard, Xiao Dong, Jessica Mar, Jan Vijg
During ageing, transcriptional noise has been show...

#single cell #transcriptomics #transcription #benchmarking #ageing

SpicyR - Spatial analysis of in situ cytometry data

Nicolas Canete, Ellis Patrick
Highly multiplexed imaging techniques such as cycl...

#single cell #image analysis #spatial analysis #cytometry

Spatial analysis of in situ cytometry data

Ellis Patrick, Nicolas Canete
Understanding the interplay between different type...

#single cell #cytometry #image analysis #spatial analysis

Single-cell and network analyses reveal organ-specific transcriptomic identity of adult fibroblasts

Elvira Forte, Mirana Ramialison, Hieu Nim, Milena Furtado
BACKGROUNDS. Organ fibroblasts are essential compo...

#transcriptomics #single cell #biomedical informatics #disease

Single-cell Transcriptional Profiling Reveals Novel Cellular and Molecular Drivers of Cardiovascular Fibrosis

Malathi S.I. Dona, Micheal A. McLellan, Daniel A. Skelly, Maria Jelinic, Galen T. Squiers, Gabriella E. Farrugia, Anthony Vinh, Taylah L. Gaynor, Charles D. Cohen, Raghav Pandey, Henry Diep, Nadia A. Rosenthal, Grant R. Drummond, Alexander R. Pinto
Fibrosis is a leading factor in the development of...

#single cell #transcriptomics #gene regulation #gene expression

Single-cell RNA-seq Analysis To Explore Bone-marrow Immune Landscape

Gunjan Dixit, Di Yu, Jiayu Wen
Bone marrow (BM) contains multiple immune cell sub...

#single cell #transcriptomics #immunology

Invited Keynote

Sex-specific co-expression: a baseline to explore disease

Sara Ballouz
Biological states such as cell-type, cell-state, t...

#single cell #transcriptomics #networks #sex differences

Longitudinal single-cell immune profiling revealed distinct innate immune response in asymptomatic COVID-19 patients

Yue You
Recent studies have characterized the single-cell ...

#COVID-19 #transcriptomics #immunology #single cell

Invited Keynote

Hypothesis generation in the age of cell atlases

Fabio Zanini, Julie Thoms, Bojk Berghuis, Racquel Domingo-Gonzales, Zhiyuan Yao, Shirit Einav, Cristina Alvira, David Cornfield, Stephen Quake, John Pimanda
While many laboratories are driven by computationa...

#single cell #viruses #transcriptomics #development #clustering

Fate specification and variability in cell lineage trees

Caleb Lau, Terry Speed, Sarah Russell, Damien Hicks
Cell lineage trees provide a blueprint for underst...

#single cell #methods #development #differentiation

Exploring mechanisms of nephron maturation using scRNAseq

Sarah Williams, Rachel Lam, Yasmin Neirijnck, Pauline Sararols, Chloé Mayère, Serge Nef, Alex Combes
Three paired kidney structures arise sequentially ...

#single cell #transcriptomics #development

Discovery of Tissue-specific Gene Expression Patterns in CD8 T Cells by Single-cell RNA-seq

Ying Zheng, Di Yu, Jiayu Wen
The current most effective clinical cancer treatme...

#single cell #transcriptomics #immunology #gene expression

Best practices for single-cell expression Quantitative Trait Locus (sc-eQTL) mapping studies from simulated data

Christina Azodi, Davis McCarthy
Advances in single-cell (sc) technologies have mad...

#single cell #benchmarking #eQTL

Benchmarking single cell transcriptomes with bulk transcriptional atlases.

Yidi Deng, Kim-Anh Lê Cao, Choi Jarny, Christine Wells

Single cell RNA sequencing (scRNA-seq) allows...

#single cell #transcriptomics #benchmarking

Session Talk

Benchmarking single cell RNA-sequencing simulation methods

Yue Cao, Pengyi Yang, Jean Yang
Single cell RNA-sequencing (scRNA-seq) is a powerf...

#single cell #transcriptomics #benchmarking

Session Talk

An automated framework for elucidating hierarchical relationships in high dimensional cytometry data

Adam Chan, Ellis Patrick, Jean Yang
With the progressive influx of high dimensional cy...

#single cell #statistics #cytometry

A statistical approach for modelling differential distributions in single-cell transcriptomic data

Malindrie Dharmaratne, Ameya Kulkarni, Atefeh Taherian Fard, Ernst Wolvetang, Nir Barzilai, Jessica C Mar
Single cell RNA sequencing (scRNA-seq) allows the ...

#single cell #transcriptomics #statistics