Jiecong Lin
Affiliations: | 2017-2021 | Computer Science | City University of Hong Kong, Kowloon, Hong Kong |
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| Lin J, Luo R, Pinello L. (2024) EPInformer: a scalable deep learning framework for gene expression prediction by integrating promoter-enhancer sequences with multimodal epigenomic data. Biorxiv : the Preprint Server For Biology |
| Chen X, Lin J, Wang Y, et al. (2024) HE2Gene: Image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinformatics (Oxford, England) |
| Liu Z, Wong HM, Chen X, et al. (2023) MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. Computers in Biology and Medicine. 168: 107753 |
| Wang F, Alinejad-Rokny H, Lin J, et al. (2023) A Lightweight Framework For Chromatin Loop Detection at the Single-Cell Level. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2303502 |
| Zhang S, Li X, Lin J, et al. (2023) Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization. Rna (New York, N.Y.) |
| Wang F, Gao T, Lin J, et al. (2022) GILoop: Robust chromatin loop calling across multiple sequencing depths on Hi-C data. Iscience. 25: 105535 |
| Huang L, Lin J, Liu R, et al. (2022) CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation. Briefings in Bioinformatics |
| Huang L, Lin J, Li X, et al. (2021) EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information. Briefings in Bioinformatics |
| Lin J, Huang L, Chen X, et al. (2021) DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs. Briefings in Bioinformatics |
| Zhang S, Li X, Lin Q, et al. (2020) Uncovering the key dimensions of high-throughput biomolecular data using deep learning. Nucleic Acids Research |