Single-cell RNA sequencing (scRNA-seq) has become a routinely used technique to
quantify the gene expression profile of thousands of single cells simultaneously. Analysis of …

Multi-omic single-cell datasets, in which multiple molecular modalities are profiled within the
same cell, offer an opportunity to understand the temporal relationship between epigenome …

The recent breakthrough of single-cell RNA velocity methods brings attractive promises to
reveal directed trajectory on cell differentiation, states transition and response to …

RNA splicing is an important driver of heterogeneity in single cells through the expression of
alternative transcripts and as a determinant of transcriptional kinetics. However, the intrinsic …

Hepatoblastoma (HB) is the most common primary liver malignancy of childhood, and
molecular investigations are limited and effective treatment options for chemoresistant …

Existing RNA velocity estimation methods strongly rely on predefined dynamics and cell-
agnostic constant transcriptional kinetic rates, assumptions often violated in complex and …

A key problem in computational biology is discovering the gene expression changes that
regulate cell fate transitions, in which one cell type turns into another. However, each …

Neuron types are the building blocks of the nervous system, and therefore, of functional
circuits. Understanding the origin of neuronal diversity has always been an essential …

Spatial transcriptomics and messenger RNA splicing encode extensive spatiotemporal
information for cell states and transitions. The current lineage-inference methods either lack …

Class-switch recombination (CSR) is an integral part of B cell maturation. Here we present
sciCSR (pronounced 'scissor', single-cell inference of class-switch recombination), a …