Unsupervised Graph Embedding via Adaptive Graph Learning.

Graph autoencoders (GAEs) are powerful tools in representation learning for graph embedding. However, the performance of GAEs is very dependent on the quality of the graph structure, i.e.

Robust kernel principal component analysis with optimal mean.

The kernel principal component analysis (KPCA) serves as an efficient approach for dimensionality reduction. However, the KPCA method is sensitive to the outliers since the large square errors tend to dominate the loss of KPCA. To strengthen the robustness of KPCA method, we propose a novel robust kernel principal component analysis with optimal mean (RKPCA-OM) method.

Differentiated super-enhancers in lung cancer cells.

Super-enhancers (SEs) are regulatory elements with enriched accumulation of key transcription factors. Few studies were done investigating SEs in lung cancers. Here we analyzed epigenetic profiling data to identify SEs in lung cancer cell lines.

Serum sRANKL and sRANKL/OPG ratio: Novel biomarkers in non-small cell lung cancer.

Osteoprotegerin (OPG) and soluble receptor activator of nuclear factor-κB ligand (sRANKL) are bone-regulating molecules. The two molecules have each been indicated to be involved in carcinogenesis. However, the diagnostic significance in non-small cell lung cancer (NSCLC) remains to be investigated.

Neuroendocrine Neoplasms of the Major Duodenal Papilla With Focus on Histopathological Features and Prognosis.

Neuroendocrine neoplasms (NENs) are generally indolent and progress slowly. However, NENs of major duodenal papilla are uncommon. We retrospectively assessed relevant clinicopathological findings in 9 consecutive patients treated for major duodenal papilla NENs by pancreaticoduodenectomy in our hospital from 2009 to 2013.

Krüppel-like factor 9 was down-regulated in esophageal squamous cell carcinoma and negatively regulated beta-catenin/TCF signaling.

Krüppel-like factor 9 (KLF9) has been found to play suppressive roles in several types of tumor. However, the expression pattern and biological functions of KLF9 in esophageal squamous cell carcinoma (ESCC) are still unknown. In this study, it was found that the expression of KLF9 was significantly down-regulated in ESCC compared to their adjacent normal esophageal tissues.

Serum metabolomic signatures of lymph node metastasis of esophageal squamous cell carcinoma.

Lymph node metastasis was recently proven to be the single most important prognostic factor for esophageal cancer, an important malignant tumor with poor prognosis. A global metabolomics approach was applied to study lymph node metastasis of esophageal squamous cell carcinoma (ESCC). Metabolomics analyses were performed using gas chromatography/mass spectrometry together with univariate and multivariate statistical analyses.