Author

Luis M. Solis

Texas A&M University – Kingsville

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Organism:Drosophila· 1 Organism:mouse· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Hani Z. GirgisiD· 2 shared Marc S. HalfoniD· 2 shared Anthony B. Garza· 1 shared Geyenna Sterling-LentschiD· 1 shared Rolando GarcíaiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersBioinformatics

Hani Z. GirgisORCID

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2 papers

Recent·Most cited

EnhancerDetector: Enhancer Discovery from Human to Fly via Interpretable Deep Learning

Luis M. Solis, Geyenna Sterling-Lentsch, Marc S. Halfon, Hani Z. Girgis

EnhancerDetector identifies enhancers across species using interpretable deep learning, showing strong performance and generalizability with experimental validation.

BMC Genomics · Sep 1, 2026Peer-reviewedBioinformatics

EnhancerTracker: Comparing cell-type-specific enhancer activity of DNA sequence triplets via an ensemble of deep convolutional neural networks

Anthony B. Garza, Rolando García, Luis M. Solis, Marc S. Halfon, Hani Z. Girgis

EnhancerTracker identifies cell-type-specific enhancers using an ensemble of deep convolutional neural networks trained on FANTOM5 data, achieving 64% accuracy with three-sequence input.

bioRxiv · Dec 23, 2023 · PreprintBioinformatics