Kun-Hsing Yu

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To provide a detailed analysis of the molecular components and underlying mechanisms associated with ovarian cancer, we performed a comprehensive mass-spectrometry-based proteomic characterization of 174 ovarian tumors previously analyzed by The Cancer Genome Atlas (TCGA), of which 169 were high-grade serous carcinomas (HGSCs). Integrating our proteomic(More)
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is indispensable for its diagnosis. However, human evaluation of pathology slides cannot accurately predict patients' prognoses. In this study, we obtain 2,186 haematoxylin and eosin stained histopathology whole-slide images of lung adenocarcinoma and squamous cell(More)
RATIONALE Bronchopulmonary dysplasia (BPD), a prevalent severe lung disease of premature infants, has a strong genetic component. Large-scale genome-wide association studies for common variants have not revealed its genetic basis. OBJECTIVES Given the historical high mortality rate of extremely preterm infants who now survive and develop BPD, we(More)
Unlike most cancers, thyroid cancer has an ever-increasing incidence rate over recent years. In order to better understand its molecular mechanisms, we acquired gene expression data from The Cancer Genome Atlas (TCGA), leveraged supervised machine learning methods to predict stages and outcomes, and utilized unsupervised machine learning methods to gain(More)
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