The latest advances in high-throughput techniques during the past decade allowed the
systems biology field to expand significantly. Today, the focus of biologists has shifted from …

The emerging single-cell RNA-Seq (scRNA-Seq) technology holds the promise to
revolutionize our understanding of diseases and associated biological processes at an …

The learning of image representation is always the most important problem in computer
vision community. In this paper, we propose a novel image representation method by …

Due to the complementary benefits of visible (RGB) and thermal infrared (T) data, RGB-T
object tracking attracts more and more attention recently for boosting the performance under …

Despite significant progress, image saliency detection still remains a challenging task in
complex scenes and environments. Integrating multiple different but complementary cues …

Motivation The development of microscopic imaging techniques enables us to study protein
subcellular locations from the tissue level down to the cell level, contributing to the rapid …

Existing RGBT tracking methods usually localize a target object with a bounding box, in
which the trackers are often affected by the inclusion of background clutter. To address this …

Motivation: Protein homology detection, a fundamental problem in computational biology, is
an indispensable step toward predicting protein structures and understanding protein …

In this paper, we propose a multi-kernel classifier learning algorithm to optimize a given
nonlinear and nonsmoonth multivariate classifier performance measure. Moreover, to solve …

Abstract Background The genus Potentilla is closely related to that of Fragaria, the
economically important strawberry genus. Potentilla micrantha is a species that does not …