NTHRYS › Internships › Ai Cancer Biology › Machine Learning Cancer Biomarker Discovery Pipeline

Single-Cell RNA-Seq Analysis via Clustering and Trajectory Inference

Ai Cancer Biology

Machine Learning Cancer Biomarker Discovery Pipeline

Variant

Pay · Join

Step 4 of 5Select variant

Field

▾

Category

▾

Focused area

▾

You might prefer

Deep Learning Feature Extraction from Histopathology Images Multi-Omics Integration via Graph Neural Networks Temporal Sequence Modeling of Longitudinal Cancer Evolution Explainable AI for Clinical Biomarker Interpretation and Validation Adversarial Domain Adaptation for Cross-Cancer Biomarker Transfer Transfer Learning from Natural Images to Cancer Image Classification Causal Inference and Bayesian Networks for Biomarker-Outcome Relationships Federated Learning for Privacy-Preserving Multi-Institutional Biomarker Discovery Active Learning and Uncertainty Quantification for Optimal Biomarker Sampling

Ai Cancer Biology › Machine Learning Cancer Biomarker Discovery Pipeline

Single-Cell RNA-Seq Analysis via Clustering and Trajectory Inference

This research applies unsupervised learning, dimensionality reduction, and pseudotime analysis to dissect tumor microenvironment heterogeneity and identify rare cell populations with prognostic significance. The work discovers developmental trajectories of cancer cells and immune infiltrates linked to immunotherapy response.

🎓 TYPE

🌐 MODE

⏱

📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

Select your preferenceChoose Type, Mode, Duration to view Titles

Internship Type

Mode

Duration

🎯

Choose your preferences above

Select Type, Mode and Duration to view available internship titles and fees.