activity
20172020
most citedDeepNovoV2: Better de novo peptide sequencing with deep learning

15 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2020

PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation

Fatema Tuz Zohora, M Ziaur Rahman, Ngoc Hieu Tran +3

A promising technique of discovering disease biomarkers is to measure the relative protein abundance in multiple biofluid samples through liquid chromatography with tandem mass spe…

q-bio.PE2020

Personalized workflow to identify optimal T-cell epitopes for peptide-based vaccines against COVID-19

Rui Qiao, Ngoc Hieu Tran, Baozhen Shan +2

Traditional vaccines against viruses are designed to target their surface proteins, i.e., antigens, which can trigger the immune system to produce specific antibodies to capture an…

cs.LG201915 cited

DeepNovoV2: Better de novo peptide sequencing with deep learning

Rui Qiao, Ngoc Hieu Tran, Lei Xin +3

Personalized cancer vaccines are envisioned as the next generation rational cancer immunotherapy. The key step in developing personalized therapeutic cancer vaccines is to identify…

q-bio.QM20172 cited

DeepIso: A Deep Learning Model for Peptide Feature Detection

Fatema Tuz Zohora, Ngoc Hieu Tran, Xianglilan Zhang +3

Liquid chromatography with tandem mass spectrometry (LC-MS/MS) based proteomics is a well-established research field with major applications such as identification of disease bioma…

cs.CE20173 cited

Protein identification with deep learning: from abc to xyz

Ngoc Hieu Tran, Zachariah Levine, Lei Xin +2

Proteins are the main workhorses of biological functions in a cell, a tissue, or an organism. Identification and quantification of proteins in a given sample, e.g. a cell type unde…