Publications by authors named "Hsing-Jen Sun"

Background: The need is growing to create medical big data based on the electronic health records collected from different hospitals. Errors for sure occur and how to correct them should be explored.

Methods: Electronic health records of 9,197,817 patients and 53,081,148 visits, totaling about 500 million records for 2006-2016, were transmitted from eight hospitals into an integrated database.

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Article Synopsis
  • Four traditional Chinese herbal remedies (BHD, XZD, TGD, SYD) are commonly used for brain-related issues in clinical settings, but their protective effects on the brain during strokes are not well understood.
  • In experiments with mice suffering from acute ischemic strokes, these remedies significantly improved survival and brain function compared to rt-PA, with BHD showing the best results.
  • The study identified key mechanisms, such as promoting neurogenesis and reducing inflammation, highlighting that these herbal treatments may provide a more effective approach for managing stroke-related conditions based on traditional Chinese medicine principles.
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Background: Identification of genes with ascending or descending monotonic expression patterns over time or stages of stem cells is an important issue in time-series microarray data analysis. We propose a method named Monotonic Feature Selector (MFSelector) based on a concept of total discriminating error (DEtotal) to identify monotonic genes. MFSelector considers various time stages in stage order (i.

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We previously presented YM500, which is an integrated database for miRNA quantification, isomiR identification, arm switching discovery and novel miRNA prediction from 468 human smRNA-seq datasets. Here in this updated YM500v2 database (http://ngs.ym.

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Exome sequencing (exome-seq) has aided in the discovery of a huge amount of mutations in cancers, yet challenges remain in converting oncogenomics data into information that is interpretable and accessible for clinical care. We constructed DriverDB (http://ngs.ym.

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MicroRNAs (miRNAs) are small RNAs ∼22 nt in length that are involved in the regulation of a variety of physiological and pathological processes. Advances in high-throughput small RNA sequencing (smRNA-seq), one of the next-generation sequencing applications, have reshaped the miRNA research landscape. In this study, we established an integrative database, the YM500 (http://ngs.

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