
A lineage tree-based hidden Markov model quantifies cellular heterogeneity and plasticity
Individual cells can assume a variety of molecular and phenotypic states and recent studies indicate…
Individual cells can assume a variety of molecular and phenotypic states and recent studies indicate…
Genome-wide association studies provide a powerful means of identifying loci and genes contributing to disease,…
Researchers from the University of Tsukuba have designed a statistical framework that identifies regulation of…
Single-cell RNA sequencing (scRNA-seq) enables characterizing the cellular heterogeneity in human tissues. Recent technological advances…
Unsupervised clustering of single-cell RNA-sequencing data enables the identification and discovery of distinct cell populations.…
With the advent of single-cell RNA-sequencing (scRNA-seq), it is possible to measure the expression dynamics…
The constant evolving and development of next-generation sequencing techniques lead to high throughput data composed…
Using single-cell RNA sequencing (scRNA-seq) data to diagnose disease is an effective technique in medical…
Recent advances in biochemistry and single-cell RNA sequencing (scRNA-seq) have allowed us to monitor the…
With the advancement of technology, we can generate and access large-scale, high dimensional and diverse…