MSDS Thesis - Pan-Collagen Survival Analysis of CNV in Ovarian Cancer
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Updated
Aug 29, 2021 - HTML
MSDS Thesis - Pan-Collagen Survival Analysis of CNV in Ovarian Cancer
[EMBC 2022] Multi-agent Feature Selection for Integrative Multi-omics Analysis
Quantitatively evaluate tumor stroma reaction within ovarian cancers, and establish assocaitaions to prognosis, molecular signatures.
A single-cell transcriptomic analysis of endometriosis, endometriomas, eutopic endometrial samples and uninvolved ovary tissues highlights cell populations characteristic of these tissue types. Transcriptional and cellular heterogeneity across tissues suggests novel therapeutic targets and biomarkers for this disease.
🧠Deep Learning-based✔️ Ovarian Cancer🙅🏻♀️ Subtypes Identification using Multi-Omics Data✅
Implements four major subtype classifiers for high-grade serous (HGS) ovarian cancer.
Research implementation on supporting medical diagnosis under incomplete data.
Clinical oncology tumor board decision support system made by the Decider project.
Analysis of treatment naive and neo-adjuvant chemotherapy treated high-grade serous ovarian cancer samples
Two or three subtypes of high grade serous ovarian cancer subtypes fit data from different populations better than four
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