Ai Cancer Biology › Machine Learning for Cancer Metastasis Prediction
Single-Cell Transcriptomics Machine Learning for Circulating Tumor Cell Detection
This research applies clustering algorithms, dimensionality reduction techniques, and classification models to identify metastasis-initiating cells in circulating tumor cell populations. The work reveals transcriptomic signatures that distinguish high-risk tumor cells capable of distant colonization.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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