Machine Learning

A methodological framework for the use of AI tools in automated workflows for generating validated and structured historical datasets
The growing availability of digitized historical collections has enabled large-scale computational research; however, transforming …
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A methodological framework for the use of AI tools in automated workflows for generating validated and structured historical datasets
Online-adjusted evolutionary biclustering algorithm to identify significant modules in gene expression data
Analyzing gene expression data helps the identification of significant biological relationships in genes. With a growing number of open …
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Online-adjusted evolutionary biclustering algorithm to identify significant modules in gene expression data
Predicting bacterial transcription factor binding sites through machine learning and structural characterization based on DNA duplex stability
Transcriptional factors (TFs) in bacteria play a crucial role in gene regulation by binding to specific DNA sequences, thereby …
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Predicting bacterial transcription factor binding sites through machine learning and structural characterization based on DNA duplex stability
Identification of Modules With Similar Gene Regulation and Metabolic Functions Based on Co-expression Data
Biological systems respond to environmental perturbations and to a large diversity of compounds through gene interactions, and these …
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Identification of Modules With Similar Gene Regulation and Metabolic Functions Based on Co-expression Data