Author

Carlo Zaniolo

University of California, Los Angeles

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Chelsea J.‐T. JuiD· 2 shared Muhao CheniD· 2 shared Wei WangiD· 2 shared Guangyu ZhouiD· 1 shared Junheng HaoiD· 1 shared Kai-Wei ChangiD· 1 shared Tianran ZhangiD· 1 shared Xuelu CheniD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Chelsea J.‐T. JuORCID

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2 papers

Recent·Most cited

Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases

Junheng Hao, Chelsea J.‐T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang

Bio-JOIE learns joint representations of biological knowledge to predict protein interactions and cluster enzymes, outperforming existing methods in PPI type prediction.

bioRxiv · Jun 15, 2020 · PreprintBioinformatics

Lasagna: Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN

Muhao Chen, Chelsea J.‐T. Ju, Guangyu Zhou, Xuelu Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, Wei Wang

Lasagna is an end-to-end framework for protein-protein interaction prediction using primary sequences, outperforming existing methods in binary prediction and showing promise in interaction type and binding affinity tasks.

Bioinformatics · May 10, 2019Peer-reviewedBioinformatics