Author

Xinya Li

Nanyang Technological UniversityORCID 0000-0002-7539-8194Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chee Keong KwohiD· 2 shared Melissa J. FullwoodiD· 2 shared Wee Joo ChngiD· 2 shared Benjamin LebeauiD· 1 shared Boon Cher GohiD· 1 shared Fan CaoiD· 1 shared Fanny DaoiD· 1 shared Hao LiniD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Chee Keong KwohORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 18, 2026

AI4Loop: an Artificial Intelligence Framework Reveals Increased 3D Chromatin Interactions and Therapeutic Vulnerabilities across 12,000 Cancer Samples

Fanny Dao, Benjamin Lebeau, Prachi Amuley…·Melissa J. Fullwood

AI4Loop uses deep learning to infer chromatin interactions from RNA-seq data, revealing increased interactions in tumors and identifying potential therapeutic compounds.

DOI 10.64898/2026.08.12.744314

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsGenome biologyPeer-reviewedAug 16, 2021

Chromatin Interaction Neural Network (ChINN): A machine learning-based method for predicting chromatin interactions from DNA sequences

Fan Cao, Yu Zhang, Yichao Cai…·Melissa J. Fullwood

ChINN predicts chromatin interactions from DNA sequences, showing good performance across samples and identifying sequence features associated with interactions in CLL patient data.

66 citationstop 4%

humanChIP-seq

𝕏 PostBluesky