Publications by authors named "Jiecong Lin"

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Spatial GWAS Atlas: a knowledgebase for decoding the genetic architecture of complex traits in spatial resolution.
Hongen Kang, Xiaoxi Jing, Jiecong Lin, Siyu Pan, Jiaxiang Zhang

Nucleic Acids Res· November 2025

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Pre-training Genomic Language Model with Variants for Better Modeling Functional Genomics.
Tianyu Liu, Xiangyu Zhang, Jiecong Lin, Luca Pinello, Rex Ying

bioRxiv· August 2025

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Unveiling Multi-Scale Architectural Features in Single-Cell Hi-C Data Using scCAFE.
Fuzhou Wang, Jiecong Lin, Hamid Alinejad-Rokny, Wenjing Ma, Lingkuan Meng

Adv Sci (Weinh)· June 2025

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Protein-truncating variants in UQCRC1 are associated with Parkinson's disease: evidence from half-million people.
Xiaoxi Jing, Zongzhi Liu, Wenwen Li, Kaiyan Ma, Jiaxiang Zhang, Jiecong Lin

NPJ Parkinsons Dis· May 2025

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EPInformer: a scalable deep learning framework for gene expression prediction by integrating promoter-enhancer sequences with multimodal epigenomic data.
Jiecong Lin, Ruibang Luo, Luca Pinello

bioRxiv· August 2024

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Scalable assessment of genome editing off-targets associated with genetic variants.
Jiecong Lin, My Anh Nguyen, Linda Y Lin, Jing Zeng, Archana Verma, Danilo Pellin

bioRxiv· July 2024

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HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data.
Xingjian Chen, Jiecong Lin, Yuchen Wang, Weitong Zhang, Weidun Xie

Bioinformatics· June 2024

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MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm.
Zhe Liu, Hiu-Man Wong, Xingjian Chen, Jiecong Lin, Shixiong Zhang

Comput Biol Med· January 2024

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A Lightweight Framework For Chromatin Loop Detection at the Single-Cell Level.
Fuzhou Wang, Hamid Alinejad-Rokny, Jiecong Lin, Tingxiao Gao, Xingjian Chen, Lingkuan Meng

Adv Sci (Weinh)· November 2023

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Review of single-cell RNA-seq data clustering for cell-type identification and characterization.
Shixiong Zhang, Xiangtao Li, Jiecong Lin, Qiuzhen Lin, Ka-Chun Wong

RNA· May 2023

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Precise DNA cleavage using CRISPR-SpRYgests.
Kathleen A Christie, Jimmy A Guo, Rachel A Silverstein, Roman M Doll, Megumu Mabuchi, Jiecong Lin, Linyuan Ma

Nat Biotechnol· March 2023

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Human genetic diversity alters off-target outcomes of therapeutic gene editing.
Samuele Cancellieri, Jing Zeng, Linda Yingqi Lin, Manuel Tognon, My Anh Nguyen, Jiecong Lin

Nat Genet· January 2023

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GILoop: Robust chromatin loop calling across multiple sequencing depths on Hi-C data.
Fuzhou Wang, Tingxiao Gao, Jiecong Lin, Zetian Zheng, Lei Huang

iScience· December 2022

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CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation.
Lei Huang, Jiecong Lin, Rui Liu, Zetian Zheng, Lingkuan Meng

Brief Bioinform· November 2022

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DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs.
Jiecong Lin, Lei Huang, Xingjian Chen, Shixiong Zhang, Ka-Chun Wong

Brief Bioinform· January 2022

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EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information.
Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Zetian Zheng

Brief Bioinform· January 2022

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Deep Neural Networks for Epistatic Sequence Analysis.
Jiecong Lin

Methods Mol Biol· April 2021

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Uncovering the key dimensions of high-throughput biomolecular data using deep learning.
Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Jiecong Lin, Ka-Chun Wong

Nucleic Acids Res· June 2020

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Early Cancer Detection from Multianalyte Blood Test Results.
Ka-Chun Wong, Junyi Chen, Jiao Zhang, Jiecong Lin, Shankai Yan, Qiuzhen Lin

iScience· May 2019

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Heterodimeric DNA motif synthesis and validations.
Ka-Chun Wong, Jiecong Lin, Xiangtao Li, Qiuzhen Lin, Cheng Liang

Nucleic Acids Res· February 2019

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Off-target predictions in CRISPR-Cas9 gene editing using deep learning.
Jiecong Lin, Ka-Chun Wong

Bioinformatics· September 2018

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