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Jiecong Lin

Showing results (1-10 of 23) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|March 18, 2021
Deep Neural Networks for Epistatic Sequence AnalysisJiecong Lin
Bioinformatics (Oxford, England)|November 14, 2018
Off-target predictions in CRISPR-Cas9 gene editing using deep learningJiecong Lin, Ka-Chun Wong
Biorxiv : the Preprint Server for Biology|August 12, 2024
EPInformer: a scalable deep learning framework for gene expression prediction by integrating promoter-enhancer sequences with multimodal epigenomic dataJiecong Lin, Ruibang Luo, Luca Pinello
Nature Communications|March 15, 2026
EPInformer: scalable and integrative prediction of gene expression from promoter-enhancer sequences with multimodal epigenomic profilesJiecong Lin, Zhijian Li, Yajie Zhao, et al.
Nucleic Acids Research|April 2, 2020
Uncovering the key dimensions of high-throughput biomolecular data using deep learningShixiong Zhang, Xiangtao Li, Qiuzhen Lin, et al.
Briefings in Bioinformatics|September 15, 2021
DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifsJiecong Lin, Lei Huang, Xingjian Chen, et al.
RNA (New York, N.Y.)|February 3, 2023
Review of single-cell RNA-seq data clustering for cell-type identification and characterizationShixiong Zhang, Xiangtao Li, Jiecong Lin, et al.
Biorxiv : the Preprint Server for Biology|September 2, 2025
Pre-training Genomic Language Model with Variants for Better Modeling Functional GenomicsTianyu Liu, Xiangyu Zhang, Jiecong Lin, et al.
NPJ Artificial Intelligence|April 23, 2026
Pre-training genomic language model with variants for better modeling functional genomicsTianyu Liu, Xiangyu Zhang, Jiecong Lin, et al.
Briefings in Bioinformatics|November 18, 2021
EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence informationLei Huang, Jiecong Lin, Xiangtao Li, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Methods in Molecular Biology (Clifton, N.J.)|March 18, 2021
Deep Neural Networks for Epistatic Sequence AnalysisJiecong Lin
Bioinformatics (Oxford, England)|November 14, 2018
Off-target predictions in CRISPR-Cas9 gene editing using deep learningJiecong Lin, Ka-Chun Wong
Biorxiv : the Preprint Server for Biology|August 12, 2024
EPInformer: a scalable deep learning framework for gene expression prediction by integrating promoter-enhancer sequences with multimodal epigenomic dataJiecong Lin, Ruibang Luo, Luca Pinello
Nature Communications|March 15, 2026
EPInformer: scalable and integrative prediction of gene expression from promoter-enhancer sequences with multimodal epigenomic profilesJiecong Lin, Zhijian Li, Yajie Zhao, et al.
Nucleic Acids Research|April 2, 2020
Uncovering the key dimensions of high-throughput biomolecular data using deep learningShixiong Zhang, Xiangtao Li, Qiuzhen Lin, et al.
Briefings in Bioinformatics|September 15, 2021
DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifsJiecong Lin, Lei Huang, Xingjian Chen, et al.
RNA (New York, N.Y.)|February 3, 2023
Review of single-cell RNA-seq data clustering for cell-type identification and characterizationShixiong Zhang, Xiangtao Li, Jiecong Lin, et al.
Biorxiv : the Preprint Server for Biology|September 2, 2025
Pre-training Genomic Language Model with Variants for Better Modeling Functional GenomicsTianyu Liu, Xiangyu Zhang, Jiecong Lin, et al.
NPJ Artificial Intelligence|April 23, 2026
Pre-training genomic language model with variants for better modeling functional genomicsTianyu Liu, Xiangyu Zhang, Jiecong Lin, et al.
Briefings in Bioinformatics|November 18, 2021
EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence informationLei Huang, Jiecong Lin, Xiangtao Li, et al.
Pageof 3