Author

H. Giang

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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Biophysics· 2 Cancer Biology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:DNA methylation· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

H.-N. Nguyen· 3 shared L. S. Tran· 3 shared B. Q. T. Nguyen· 2 shared D. H. Tran· 2 shared H. T. Nguyen· 2 shared H. T. P. Nguyen· 2 shared M.-D. Phan· 2 shared M.-T. Le· 2 shared

Activity by Year

2019-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

H.-N. Nguyen

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Spectrally Resolved Localization Microscopy with Ultrahigh-Throughput

J. E. Batey, G. W. Kim, M. Yang, D. C. Heffer, E. D. Pott, H. Giang, B. Dong

This paper develops an ultrahigh-throughput SMLM methodology using a color glass filter to achieve sub-10 nm localization and sub-5 nm spectral precision for multicolor imaging.

bioRxiv · Jan 17, 2024Biophysics

Tissue of origin detection for cancer tumor using low-depth cfDNA samples through combination of tumor-specific methylation atlas and genome-wide methylation density in graph convolutional neural networks

T. H. Nguyen, N. N. T. Doan, T. H. Tran, L. A. K. Huynh, P. L. Doan, T. H. H. Nguyen, V. T. C. Nguyen, G. T. H. Nguyen, H.-N. Nguyen, H. Giang, L. S. Tran, M. D. Phan

The paper develops a model combining tumor-specific methylation atlas and cfDNA features to improve tissue-of-origin detection in low-depth cfDNA samples.

bioRxiv · Dec 24, 2023Cancer Biology

The T Cell Receptor beta Chain Repertoire of Tumor Infiltrating Lymphocytes Improves Neoantigen Prediction and Prioritization

T. M. Q. Pham, T. N. Nguyen, B. Q. T. Nguyen, H. T. P. Nguyen, T. P. D. Tran, N. M. D. Pham, T. K. C. Ho, D. V. L. Nguyen, H. T. Nguyen, D. H. Tran, T. S. Tran, T.-V. N. Pham, M.-T. Le, T. T. V. Nguyen, M.-D. Phan, , L. S. Tran

This paper develops a machine learning model that integrates TCRβ and pHLA binding data to improve neoantigen prioritization in colorectal cancer, showing better performance than existing tools.

bioRxiv · Nov 16, 2023Cancer Biology

Improvement in Neoantigen Prediction via Integration of RNA Sequencing Data for Variant Calling

B. Q. T. Nguyen, T. P. D. Tran, H. T. Nguyen, T. N. Nguyen, T. M. Q. Pham, H. T. P. Nguyen, D. H. Tran, T. T. V. Nguyen, T. S. Tran, T.-V. N. Pham, M.-T. Le, M.-D. Phan, H. Giang, H.-N. Nguyen, L. S. Tran

This study improves neoantigen prediction by integrating RNA sequencing data with DNA sequencing to identify more immunogenic neoantigens in colorectal cancer patients.

bioRxiv · Jul 2, 2023 · PreprintImmunology

Model Plasma Membrane exhibits a Microemulsion in both Leaves providing a Foundation for \"Rafts\"

M. Schick, D. W. Allender, H. Giang

The paper presents a model of the plasma membrane showing microemulsion structures in both leaflets, providing a basis for the existence of rafts with specific composition and curvature differences.

bioRxiv · Jul 9, 2019Biophysics