Research topics:

(1) 3-dimensional organization of cancer genomes in RNA transcriptional regulation

(2) Artificial intelligence for predicting epigenomic and transcriptomic phenomena

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1 to 3 of 3 Results
Replication Data for: Confocal images of optodroplet system of various c-MYC constructs
Mar 22, 2025 - Ruchi CHOUDHARY
Choudhary, Ruchi, 2025, "Replication Data for: Confocal images of optodroplet system of various c-MYC constructs", https://doi.org/10.21979/N9/DUJJ55, DR-NTU (Data), V1
This data contains raw confocal images of optodroplet system of various c-MYC constructs as well as negative and positive controls.
Replication Data for: AptaFluorescence: An aptamer-based fluorescent imaging protocol for biomolecule visualization
Replication Data for: AptaFluorescence: An aptamer-based fluorescent imaging protocol for biomolecule visualization
Jan 28, 2025 - Crystal LING
Ling, Crystal; Fullwood, Melissa Jane, 2024, "Replication Data for: AptaFluorescence: An aptamer-based fluorescent imaging protocol for biomolecule visualization", https://doi.org/10.21979/N9/DYDFGU, DR-NTU (Data), V4
AptaFluorescence and Immunofluorescence Images
AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples
Jan 20, 2025 - Fuying DAO
Dao, Fuying; Melissa Jane Fullwood, 2025, "AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples", https://doi.org/10.21979/N9/ORBU74, DR-NTU (Data), V1, UNF:6:yu/jmM9lAF6qjIBWiJ1ucw== [fileUNF]
Changes in 3D chromatin interactions may represent actionable vulnerabilities in cancer, yet comprehensive profiling at scale remains technically and financially challenging. Here, we present AI4Loop, a deep learning framework that predicts genome-wide promoter-promoter chromatin...
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