Transfer learning has recently attracted significant research attention, as it simultaneously
learns from different source domains, which have plenty of labeled data, and transfers the …

A novel state estimator is designed for genetic regulatory networks with reaction-diffusion
terms in this study. First, the diffusion space (where mRNA and protein exist) is divided into …

Single-cell gene expression measurements offer opportunities in deriving mechanistic
understanding of complex diseases, including cancer. However, due to the complex …

This paper is concerned with developing an adaptive controller for Partially-Observed
Boolean Dynamical Systems (POBDS). Assuming that partial knowledge about the system …

Grain is a hardware-oriented finalist in the eSTREAM Stream Cipher Project. As a particular
Galois nonlinear feedback shift register (NFSR), cascade connection of two NFSRs has …

This paper studies expression-based classification under the assumption that single-cell
measurements are sampled at a sufficient rate to detect regulatory timing. Observations are …

This paper studies classification of gene-expression trajectories coming from two classes,
healthy and mutated (cancerous) using Boolean networks with perturbation (BNps) to model …

This paper studies the classification of gene regulatory networks (GRNs) modeled by
probabilistic Boolean networks (PBNs). After observing Gaussian expression values of n …

There is often a limited amount of omics data to design predictive models in biomedicine.
Knowing that these omics data come from underlying processes that may share common …

Anomaly analysis of trajectories is one of the means to maintain indoor safety. Effective track
anomaly detection should be based on the current road network structure. However, the …