Artificial intelligence, or the discipline of develo** computational algorithms able to
perform tasks that requires human intelligence, offers the opportunity to improve our idea …

Until date, several machine learning approaches have been proposed for the dynamic
modeling of temporal omics data. Although they have yielded impressive results in terms of …

This paper explores the relationship between received inheritances and the distribution of
wealth (financial, non-financial and total) in four developed countries: the United States …

The explosion of omics data availability in cancer research has boosted the knowledge of
the molecular basis of cancer, although the strategies for its definitive resolution are still not …

Reconstructing the topology of gene regulatory network from gene expression data has
been extensively studied. With the abundance functional transcriptomic data available, it is …

Motivation The inference of gene regulatory networks (GRNs) from DNA microarray
measurements forms a core element of systems biology-based phenoty**. In the recent …

Combination therapy is well established as a key intervention strategy for cancer treatment,
with the potential to overcome monotherapy resistance and deliver a more durable efficacy …

High-utility sequential pattern mining techniques have demonstrated good performance in
identifying associations between mRNA levels in microarray experiments taking into account …

High throughput sequencing generates large volumes of high dimensional data. Identifying
informative features from the generated big data is always a challenge. Feature selection …

Pathway analysis methodologies couple traditional gene expression analysis with
knowledge encoded in established molecular pathway networks, offering a promising …