Author

Chaochun Liu

New York State Department of Health

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· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:multiome· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Dan LiiD· 1 shared Ding YeiD· 1 shared Jijun ChengiD· 1 shared Jun LüiD· 1 shared Shaveta KanoriaiD· 1 shared Stephen Mastriano· 1 shared Wei FaniD· 1 shared Wentao ZhuiD· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMolecular Biology

Dan LiORCID

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2 papers

Recent·Most cited

High-Throughput Quantification of miRNA-3'-Untranslated-Region Regulatory Effects

Stephen Mastriano, Shaveta Kanoria, William A. Rennie, Chaochun Liu, Dan Li, Jijun Cheng, Ding Ye, Jun Lü

The paper quantifies miRNA regulatory effects on 3' UTRs using a high-throughput reporter assay and develops a score to predict miRNA inhibition based on seed and seedless sites.

bioRxiv · Dec 5, 2024 · PreprintMolecular Biology

DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification

Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui S. Xie

On LIDC-IDRI, gradient boosting on 3D dual path network features reaches 90.44% accuracy on annotated nodules; with a 3D Faster R-CNN detector, patient-level accuracy is 81.41%, 99% of doctors' average.

bioRxiv · Sep 17, 2017 · PreprintBioinformatics✦ In-depth digest