Publications by authors named "S Hang Gan Zeng"

Background: There is a shortage of patients with hypertrophic cardiomyopathy (HCM) with concurrent coronary artery disease (CAD), and the influence of CAD on the prognosis of patients with HCM is uncertain. This real-world cohort study was conducted to evaluate the prognosis of patients with patients with CAD.

Methods: This cohort study of patients with HCM was conducted from May 2003 to September 2021.

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The G2PDeep-v2 server is a web-based platform powered by deep learning, for phenotype prediction and markers discovery from multi-omics data in any organisms including humans, plants, animals, and viruses. The server provides multiple services for researchers to create deep-learning models through an interactive interface and train these models using an automated hyperparameter tuning algorithm on high-performance computing resources. Users can visualize the results of phenotype and markers predictions and perform Gene Set Enrichment Analysis for the significant markers to provide insights into the molecular mechanisms underlying complex diseases, conditions and other biological phenotypes being studied.

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Global warming has threatened all-rounded hierarchical biosphere by reconstructing eco-structure and bringing biodiversity variations. Pacific white shrimp, a successful model of worldwide utilizing marine ectothermic resources, is facing huge losses due to multiple diseases relevant to intestinal microbiota (IM) dysbiosis during temperature fluctuation. However, how warming mediates shrimp health remains poorly understood.

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Introduction: Homeobox genes are highly conserved and play critical roles in brain development. Recently we have found that mammals have an additional fragment of approximately 20 amino acids in Emx1 and a poly-(Ala)6-7 in Emx2, compared to other amniotes. It has been shown that Emx1 and Emx2 have synergistic actions in the brain development.

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Background: Ovarian cancer is among the most lethal gynecologic malignancy that threatens women's lives. Pathological diagnosis is a key tool for early detection and diagnosis of ovarian cancer, guiding treatment strategies. The evaluation of various ovarian cancer-related cells, based on morphological and immunohistochemical pathology images, is deemed an important step.

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