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Mining Evolutions of Complex Spatial Objects Using a Single-Attributed Directed Acyclic Graph

Directed acyclic graphs (DAGs) are used in many domains ranging from computer science to bioinformatics, including industry and geoscience. They enable to model complex evolutions where spatial objects (e.g., soil erosion)maymove, (dis)appear,merge …

Computational Search of Hybrid Human/ SARS-CoV-2 dsRNA Reveals Unique Viral Sequences That Diverge from Other Coronavirus Strains

The role of the RNAi/Dicer/Ago system to degrade RNA viruses has been elusive in mammals,which prompted authors to think that interferon (IFN) synthesis is essential in this clade relegatingthe RNAi defense strategy against viral infection as …

Transcriptome-Wide-Scale-Predicted dsRNAs Potentially Involved in RNA Homoeostasis Are Remarkably Excluded from Genes with No/Very Low Expression in All Developmental Stages

RNA interference (RNAi) refers to a conserved posttranscriptional mechanism for the degradation of RNA by short dsRNAs. A genome-wide analysis of mRNAs that are complementary to RNAs of variable length that are transcribed from the full transcriptome …

Prediction of miRNA-disease Associations Using an Evolutionary Tuned Latent Semantic Analysis.

MicroRNAs, small non-coding elements implied in gene regulation, are very interesting biomarkers for various diseases such as cancers. They represent potential prodigious biotechnologies for early diagnosis and gene therapies. However, experimental …

The Mapping of Predicted Triplex DNA:RNA in the Drosophila Genome Reveals a Prominent Location in Development- and Morphogenesis-Related Genes

Double-stranded DNA is able to form triple-helical structures by accommodating a third nucleotide strand. A nucleic acid triplex occurs according to Hoogsteen rules that predict the stability and affinity of the third strand bound to the Watson-Crick …

Attributed Graph Mining in the Presence of Automorphism

Attributed directed graphs are directed graphs in which nodes are associated with sets of attributes. Many data from the real world can be naturally represented by this type of structure, but few algorithms are able to directly handle these complex …

Prediction of miRNA-disease Associations with a Vector Space Model.

MicroRNAs play critical roles in many physiological processes. Their dysregulations are also closely related to the development and progression of various human diseases, including cancer. Therefore, identifying new microRNAs that are associated with …

Frequent Pattern Mining in Attributed Trees: Algorithms and Applications

Frequent pattern mining is an important data mining task with a broad range of applications. Initially focused on the discovery of frequent itemsets, studies were extended to mine structural forms like sequences, trees or graphs. In this paper, we …

Environmentally Selected Aphid Variants in Clonality Context Display Differential Patterns of Methylation in the Genome

Heritability of acquired phenotypic traits is an adaptive evolutionary process that appears more complex than the basic allele selection guided by environmental pressure. In insects, the trans-generational transmission of epigenetic marks in clonal …

Mining Association Rule Bases from Integrated Genomic Data and Annotations (Extended Version)

During the last decade, several clustering and association rule mining techniques have been applied to highlight groups of co-regulated genes in gene expression data. Nowadays, integrating these data and biological knowledge into a single framework …