Author

Jingtao Wang

McGill University Health CentrePrimary ORCID profile (0000-0002-6269-105X · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Jingtao WangiD1 paper · University of Maryland, Baltimore

Biology Disciplines

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Bioinformatics· 5

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:cell type annotation· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Jun DingiD· 5 shared Gregory J. FonsecaiD· 2 shared Arjun SarathiiD· 1 shared Basil J. PetrofiD· 1 shared Bowen ZhaoiD· 1 shared Douglas D. FraseriD· 1 shared Euxhen HasanajiD· 1 shared Huilin Tai· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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5 shared papersBioinformatics

Jun DingORCID

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Author profile →

5 papers

Recent·Most cited

CellSexID: Sex-Based Computational Tracking of Cellular Origins in Chimeric Models

Huilin Tai, Qian Li, Jingtao Wang, Jiahui Tan, Bowen Zhao, Ryann Lang, Basil J. Petrof, Jun Ding

CellSexID uses sex-linked gene expression to computationally track donor and recipient cells in chimeric models and beyond.

Cell Reports Methods · Sep 17, 2025Peer-reviewedBioinformatics

DTPSP: A Deep Learning Framework for Optimized Time Point Selection in Time-Series Single-Cell Studies

Michel Hijazin, Pumeng Shi, Jingtao Wang, Jun Ding

DTPSP selects optimal time points for time-series studies using deep learning, enabling efficient and targeted multi-omics profiling.

bioRxiv · Dec 18, 2024 · PreprintBioinformatics

scSemiProfiler: Advancing Large-scale Single-cell Studiesthrough Semi-profiling with Deep Generative Models andActive Learning

Jingtao Wang, Gregory J. Fonseca, Jun Ding

scSemiProfiler infers single-cell profiles from bulk data using deep generative models and active learning, validated across datasets to match true single-cell data.

Nature Communications · Jul 16, 2024Peer-reviewedBioinformatics

RAMEN Unveils Clinical Variable Networks for COVID-19 Severity and Long COVID Using Absorbing Random Walks and Genetic Algorithms

Yiwei Xiong, Jingtao Wang, Xiaoxiao Shang, Tingting Chen, Douglas D. Fraser, Gregory J. Fonseca, Simon Rousseau, Jun Ding

bioRxiv · Jan 24, 2023 · PreprintBioinformatics

Cellar: Interactive single cell data annotation tool

Euxhen Hasanaj, Jingtao Wang, Arjun Sarathi, Jun Ding, Ziv Bar‐Joseph

Cellar is an interactive tool for annotating cell types in single-cell multi-omics and spatial proteomics data using HuBMAP datasets.

bioRxiv · Mar 19, 2021 · PreprintBioinformatics