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Feature (gene) selection is an important preprocessing step for performing data mining on large-scale bioinformatics datasets. However, one known concern is that feature selection can sometimes give very different results when applied to very similar data sets. Ensemble gene selection is a promising new approach which may help resolve this concern, producing more stable gene lists and better classification...
A swarm intelligence technique called the bees algorithm is formulated to build synthetic networks of the budding yeast cell-cycle. The resulting networks contain the original fixed points of the budding yeast cell-cycle network plus additional fixed points to reduce the basin size of the fixed point associated to the G1 phase of the cell-cycle, with the purpose of promoting cell proliferation for...
Identification of the most impacted signaling pathways in a given condition is a crucial step in understanding the underlying biological mechanism. An impact analysis that is able to take in consideration the structure of a given signaling pathway was proposed to measure the impact on each pathway given a list of differentially expressed (DE) genes and their fold changes. Here, we investigated the...
Central pattern generator (CPG) is a kind of neural network which is located in the spinal cord. It has been found to be responsible for many rhythmic biological movements, such as breathing, swimming, flying as well as walking. Many CPG models have been designed and proved to be useful. But the CPG outputs of these models are often sine waves or quasi-sine waves. Also these outputs are directly used...
This paper is concerned with the issue of online time series segmentation. This problem, common in a number of applicative fields, continues to receive increasing attention. The present article introduces a novel threshold-free sequential time series segmentation approach. It is based on the concurrent estimation of two models (a model with one regressive segment and a two-component temporal mixture...
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