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Qi Liu
Life Science
Tongji University
Shanghai
Language: Chinese, English
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Artificial Intelligence Genomics Bioinformatics Precision Therapy Single-Cell Analysis Multi-Modal Integration Perturbation Studies Crispr Machine Learning Data-Driven Research
Areas of Focus
  • AI for Omics
  • Precision Medicine
  • Single-cell Omics
  • Multi-modal Omics
  • Perturbation Omics
Work Experience
  • Permanent Professor at Tongji University
  • PI at Shanghai Autonomous Intelligent Unmanned Systems Science Center, Tongji University
Academic Background & Achievements
  • PhD: Not mentioned
  • National Youth Talent
  • Published books on omics and AI
Publications
  • Unified cross-modality integration and analysis of T-cell receptors and T-cell transcriptomes by low-resource-aware representation learning, Yicheng Gao et al., Qi Liu*, 2024
  • Single- Cell Omics: experimental workflow, data analyses and applications, Fengying Sun et al., Qi Liu*… ShiTie Liu*, 2024
  • Multi-slice Spatial Transcriptome Domain Analysis with SpaDo, Bin Duan et al., Qi Liu*, 2024
  • Personalized tumor combination therapy optimization using the single-cell transcriptome, Chen Tang et al., Qi Liu*, 2023
  • Genome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints, Qichang Chen et al., Qi Liu*, 2023
Awards
  • Best of Trends Award
  • F1000 Recommendation
  • iGEM Best Software & AI Project Award
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