Organismal aging exhibits wide-ranging hallmarks in divergent cell types across tissues,
organs, and systems. The advancement of single-cell technologies and generation of rich …

Glioma is the most common type of primary CNS tumor, composed of cells that resemble
normal glial cells. Recent genetic studies have provided insight into the inter-tumoral …

We introduce CellPhy, a maximum likelihood framework for inferring phylogenetic trees from
somatic single-cell single-nucleotide variants. CellPhy leverages a finite-site Markov …

Integrating single-cell multi-omics data is a challenging task that has led to new insights into
complex cellular systems. Various computational methods have been proposed to effectively …

Cellular heterogeneity is prevalent in all cell populations. Single-cell analysis (SCA) could
unveil the heterogeneity and thus gain unique insights into complex biological processes …

Most common methods of cellular analysis employ the top-down approach (investigating
proteomics or genomics directly), thereby destroying the cell, which does not allow the …

Background Previous studies have traditionally attributed the initiation of cancer cells to
genetic mutations, considering them as the fundamental drivers of carcinogenesis. However …

Single-cell sequencing technologies have led to a revolution in our knowledge of the
diversity of cell types, connections between biological levels of organization, and …

Single-cell sequencing is a technique for detecting and analyzing genomes, transcriptomes,
and epigenomes at the single-cell level, which can detect cellular heterogeneity lost in …

Single-cell technologies have transformed biomedical research over the last decade,
opening up new possibilities for understanding cellular heterogeneity, both at the genomic …