Microbial cells within clonal populations can display different morphologies or carry out
different tasks. This heterogeneity is beneficial at the population level and allows microbes …

Stochastic Petri nets (SPNs) have been widely used to model randomness which is an
inherent feature of biological systems. However, for many biological systems, some kinetic …

Fluctuating environments pose tremendous challenges to bacterial populations. It is
observed in numerous bacterial species that individual cells can stochastically switch …

Glioblastoma Multiforme is a brain tumor distinguished by its aggressiveness. We suggested
that this aggressiveness leads single-cell RNA-sequence data (scRNA-seq) to span a …

Glioblastoma Multiforme (GBM) is the most common and aggressive type of brain tumor.
With a median survival of around 15 months, it has only approximately a 10% chance of 5 …

Background Glioma differentiation therapy is a novel strategy that has been used to induce
glioma cells to differentiate into glia-like cells. Although some advances in experimental …

Recent progress in experimental techniques has enabled us to quantitatively study
stochastic and flexible behavior of biological systems. For example, gene regulatory …

We presented a method to find potential cancer attractors using single-cell RNA sequencing
(scRNA-seq) data. We tested our method in a Glioblastoma Multiforme (GBM) dataset, an …

We consider the problem of estimating a gene regulatory network under switching noise
dynamics. Several stochastic models based on discretized Langevin dynamics are …

Glioblastoma Multiforme (GBM), a brain tumor distinguished for its aggressive nature,
presents heterogeneity that stems from multifaceted mechanisms, such as genetic …