Boya Zhang

ORCID: 0000-0003-4837-5584
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About
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Research Areas
  • Cancer, Hypoxia, and Metabolism
  • Neonatal Respiratory Health Research
  • Neurobiology and Insect Physiology Research
  • vaccines and immunoinformatics approaches
  • SARS-CoV-2 and COVID-19 Research
  • Chromosomal and Genetic Variations
  • Congenital heart defects research
  • Cancer Research and Treatments
  • Pituitary Gland Disorders and Treatments
  • High Altitude and Hypoxia
  • Adrenal and Paraganglionic Tumors
  • Gene expression and cancer classification
  • Immunotherapy and Immune Responses
  • Genomics and Phylogenetic Studies
  • Genomic variations and chromosomal abnormalities

Lawrence Livermore National Laboratory
2024

Shanghai Sixth People's Hospital
2024

Shanghai Jiao Tong University
2024

Institute of Zoology
2024

Chinese Academy of Sciences
2024

The COVID-19 pandemic underscored the promise of monoclonal antibody-based prophylactic and therapeutic drugs

10.1038/s41586-024-07385-1 article EN cc-by Nature 2024-05-08

Quantifying the structural variants (SVs) in nonhuman primates could provide a niche to clarify genetic backgrounds underlying human-specific traits, but such resource is largely lacking. Here, we report an accurate SV map population of 562 rhesus macaques, verified by in-house benchmarks eight macaque genomes with long-read sequencing and another one genome assembly. This indicates stronger selective constrains on inversions at regulatory regions, suggesting strategy for prioritizing them...

10.1126/sciadv.adl4600 article EN cc-by-nc Science Advances 2024-04-05

This paper proposes a hierarchical Bayesian multitask learning model that is applicable to the general multi-task binary classification problem where assumes shared sparsity structure across different tasks. We derive computationally efficient inference algorithm based on variational approximate posterior distribution. demonstrate potential of new approach various synthetic datasets and for predicting human health status microbiome profile. Our analysis incorporates data pooled from multiple...

10.48550/arxiv.2502.02552 preprint EN arXiv (Cornell University) 2025-02-04

To explore the gene expression characteristics of endothelial cells and fibroblasts in microenvironment

10.13201/j.issn.2096-7993.2024.09.003 article EN PubMed 2024-09-01
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