Editorial: Machine Learning and Mathematical Models for Single-Cell Data Analysis

New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data

(2020) Xin Shao et al.   Protein & Cell

Divergent Resistance Mechanisms to Immunotherapy Explain Responses in Different Skin Cancers

(2020) Emmanuel Dollinger et al.   Cancers

Predictive biomarkers for cancer immunotherapy with immune checkpoint inhibitors

(2020) Rilan Bai et al.   Biomarker Research

Deep learning: new computational modelling techniques for genomics

(2019) Gökcen Eraslan et al.   NATURE REVIEWS GENETICS

Exploring single cells in space and time during tissue development, homeostasis and regeneration

(2019) Urs Mayr et al.   DEVELOPMENT

The evolving concept of cell identity in the single cell era

(2019) Samantha A. Morris   DEVELOPMENT

Exploring single-cell data with deep multitasking neural networks

(2019) Matthew Amodio et al.   NATURE METHODS

Next-Generation Machine Learning for Biological Networks

(2018) Diogo M. Camacho et al.   CELL

Mapping the Mouse Cell Atlas by Microwell-Seq

(2018) Xiaoping Han et al.   CELL

Single-cell RNA sequencing for the study of development, physiology and disease

(2018) S. Steven Potter   Nature Reviews Nephrology

The Scout Device’s Reliability

(2017) Siamak Sabour   Advances in Skin & Wound Care

Single-cell sequencing-based technologies will revolutionize whole-organism science

(2013) Ehud Shapiro et al.   NATURE REVIEWS GENETICS

Cellular Heterogeneity: Do Differences Make a Difference?

(2010) Steven J. Altschuler et al.   CELL