The emergence of drug-resistant bacteria poses a significant challenge to modern medicine.
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …

The identification of protein binding sites in promoter sequences is a key problem to
understand and control regulation in biochemistry and biotechnological processes. We use …

The emergence of drug-resistant bacteria poses a significant challenge to modern medicine.
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …

Microarray experiments are often conducted in order to compare gene expression between
two conditions. Tests to detected mean differential expression of genes between conditions …

Resumen TORRES-AVILES, Francisco; ROMEO, José S y LOPEZ-KLEINE, Liliana. Data
mining and influential analysis of gene expression data for plant resistance gene …

Molecular mechanisms of plant-pathogen interaction have been studied thoroughly because
of its importance for crop production and food supply. This knowledge is a starting point in …

Publicly available genomic data are a great source of biological knowledge that can be
extracted when appropriate data analysis is used. Predicting the biological function of genes …

Gene expression data have been very useful during the past two decades for the detection
of differentially expressed genes when two (or more) biological conditions are compared …

Background: Gene expression data is available on several organisms of interest in publicly
available data-bases and knowledge on gene functions can be extracted from gene …

Gene expression data (microarrays and RNA-sequencing data) as well as other kinds of
genomic data can be extracted from publicly available genomic data. Here, we explain how …