Machine Learning and Artificial Intelligence
GeneXplain predicts genomic transcription factor (TF) binding sites and composite regulatory regions using such algorithms of Machine Learning (ML) and Artificial Intelligence (AI) as Genetic Algorithms and Sparse Logistic Regression.
Predict TF binding sites in tissue/cell type/induction-specific combinatorial context. Search for specific TF binding regions in your sequence by scanning it through the TRANSFAC® library with over 100.000 MEALR models (Motif Enrichment Analysis by Logistic Regression). Learn more >>
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Identify combinations of TF binding sites that are overrepresented in the regulatory sequences under study compared to a background set of sequences using our in-house implementation of a genetic algorithm called Composite Module Analyst (CMA). Learn more>>
Identify combinations of TF binding sites that are overrepresented in the regulatory sequences under study compared to a background set of sequences using our in-house implementation of a genetic algorithm called Composite Module Analyst (CMA). Learn more>>
