Yufei Huang

University of Pittsburgh

Full Professor(heuristic)

RNA modifications and cancer · Molecular Biology

h-index58

i10-index217

Publications617

Citations12,255

Grants

10 total · 4 active

NIH #5R21GM155774-02

Novel geometric deep learning models for tissue structure-aware spatial expression representations from spatially resolved single-cell transcriptomics data

Expiring Soon

Amount: $234K
Period: 2024-09-01 → 2026-08-31
PIs: 2
Est. capacity / PI: ~0 students

Awarded at UNIVERSITY OF PITTSBURGH AT PITTSBURGH

NIH #1R21GM155774-01

Novel geometric deep learning models for tissue structure-aware spatial expression representations from spatially resolved single-cell transcriptomics data

Expiring Soon

Amount: $199K
Period: 2024-09-01 → 2026-08-31
PIs: 2
Est. capacity / PI: ~0 students

Awarded at UNIVERSITY OF PITTSBURGH AT PITTSBURGH

NIH #3U01CA279618-03S1

m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer

Active

Amount: $208K
Period: 2023-04-11 → 2027-03-31
PIs: 1
Est. capacity / PI: ~0 students

Awarded at UNIVERSITY OF PITTSBURGH AT PITTSBURGH

Student capacity is a rough estimate from remaining award size, split equally among PIs. Actual funding decisions vary.

Lab Funding Health

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Institution / lab homepage Search on ResearchGate

In-Field Influence

0.0006

PageRank within Molecular Biology co-authorship network

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Admission Signals

New paper: Association between dietary patterns and bone health among children and adolescents: a cross-sectional study (Food Production Processing and Nutrition)2026-05-10
New preprint: Expanding the RNA Virus Universe by Scalable Structure-Guided Discovery2025-11-27
New NIH award: $234K — Novel geometric deep learning models for tissue structure-aware spatial expression representations from spatially resolved single-cell transcriptomics data2024-09-01
New NIH award: $199K — Novel geometric deep learning models for tissue structure-aware spatial expression representations from spatially resolved single-cell transcriptomics data2024-09-01
New NIH award: $208K — m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer2023-04-11
New NIH award: $393K — m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer2023-04-11

Data Freshness

Publications as of 2026-07-01
Grants as of 2026-06-30

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ORCID: 0000-0001-6268-5357

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

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Recent Publications

Last 2 years · showing 20 of 118

Association between dietary patterns and bone health among children and adolescents: a cross-sectional study
Food Production Processing and Nutrition · 2026-05-10
Spatially Resolved Microglial State Transitions Govern Strain-Specific Zika Neuropathogenesis
bioRxiv (Cold Spring Harbor Laboratory) · 2026-05-05
ST2HE: Enhancing spatial transcriptomics interpretability via virtual staining for histological annotation
Zenodo (CERN European Organization for Nuclear Research) · 2026-01-01
ST2HE: Enhancing spatial transcriptomics interpretability via virtual staining for histological annotation
Zenodo (CERN European Organization for Nuclear Research) · 2026-01-01
Genome-wide identification of PavSWEET family genes and functional analysis of PavSWEET1, PavSWEET9b, and PavSWEET10 in regulating sweet cherry fruit sweetness
International Journal of Biological Macromolecules · 2025-12-16
Expanding the RNA Virus Universe by Scalable Structure-Guided DiscoveryPreprint
bioRxiv (Cold Spring Harbor Laboratory) · 2025-11-27
Transformer and graph variational autoencoder to identify microenvironments: A deep learning protocol for spatial transcriptomics
STAR Protocols · 2025-11-27 · 1 citations
Supplementary Figure S1 from Serologic Profiling Using an Epstein-Barr Virus Mammalian Expression Library Identifies EBNA1 IgA as a Prediagnostic Marker for Nasopharyngeal Carcinoma
2025-11-25
Supplementary Figure S6 from Serologic Profiling Using an Epstein-Barr Virus Mammalian Expression Library Identifies EBNA1 IgA as a Prediagnostic Marker for Nasopharyngeal Carcinoma
2025-11-25
Supplementary Figure S3 from Serologic Profiling Using an Epstein-Barr Virus Mammalian Expression Library Identifies EBNA1 IgA as a Prediagnostic Marker for Nasopharyngeal Carcinoma
2025-11-25
Supplementary Tables S1-5 from Serologic Profiling Using an Epstein-Barr Virus Mammalian Expression Library Identifies EBNA1 IgA as a Prediagnostic Marker for Nasopharyngeal Carcinoma
2025-11-25
Supplementary Figure S4 from Serologic Profiling Using an Epstein-Barr Virus Mammalian Expression Library Identifies EBNA1 IgA as a Prediagnostic Marker for Nasopharyngeal Carcinoma
2025-11-25
Supplementary Figure S2 from Serologic Profiling Using an Epstein-Barr Virus Mammalian Expression Library Identifies EBNA1 IgA as a Prediagnostic Marker for Nasopharyngeal Carcinoma
2025-11-25
Supplementary Methods from Serologic Profiling Using an Epstein-Barr Virus Mammalian Expression Library Identifies EBNA1 IgA as a Prediagnostic Marker for Nasopharyngeal Carcinoma
2025-11-25
Supplementary Figure S5 from Serologic Profiling Using an Epstein-Barr Virus Mammalian Expression Library Identifies EBNA1 IgA as a Prediagnostic Marker for Nasopharyngeal Carcinoma
2025-11-25
Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger BridgesPreprint
ArXiv.org · 2025-11-17
A retrospective cross-sectional analysis of global esophageal cancer and gastroesophageal reflux disease burden: temporal trends, regional disparities, and epidemiologic associations
International Journal of Surgery · 2025-11-11
Fabricating Thermoconductive Phase-Change Fiber via Solvent-Regulated Encapsulation in Carbon Nanotube Network
ACS Nano · 2025-11-06 · 5 citations
Integrating Machine Vision and Deep Learning for Silkworm Cocoon Classification and Identification in the Industrial Internet of Things ( <scp>IIoT</scp> ) Framework
Internet Technology Letters · 2025-11-01
ECloudGen: leveraging electron clouds as a latent variable to scale up structure-based molecular design
Nature Computational Science · 2025-10-15

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Yufei Huang

Grants

Novel geometric deep learning models for tissue structure-aware spatial expression representations from spatially resolved single-cell transcriptomics data

Novel geometric deep learning models for tissue structure-aware spatial expression representations from spatially resolved single-cell transcriptomics data

m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer

All Grants

Novel geometric deep learning models for tissue structure-aware spatial expression representations from spatially resolved single-cell transcriptomics data

Novel geometric deep learning models for tissue structure-aware spatial expression representations from spatially resolved single-cell transcriptomics data

m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer

m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer

m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer

m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer

m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer

Collaborative Research:Graphical models for characterizing global RNA methylation

Collaborative Research:Graphical models for characterizing global RNA methylation

Collaborative Research:Graphical models for characterizing global RNA methylation

Career Trajectory

Research Cluster Map

Potential Collaborators

Recent Publications