Lingxiao Zhang

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A 1.8 kb 5'-flanking region of the large subunit of ADP-glucose pyrophosphorylase, isolated from watermelon (Citrullus vulgaris S.), has fruit-specific promoter activity in transgenic tomato plants. Two negative regulatory regions, from -986 to -959 and from -472 to -424, were identified in this promoter region by fine deletion analyses. Removal of both(More)
Social coding sites (e.g., Github) provide various features like Forking and Sending Pull-requests to support crowd-based software engineering. When using these features, a large amount of user behavior data is recorded. User behavior data can reflect developers preferences and interests in software development activities. Online service providers in many(More)
Strawberry (Fragaria x ananassa Duch.), a member of the Rosaceae family, is one of the most important fruit crops cultivated worldwide. Strawberry is unique within the Rosaceae because it is a rapidly growing herbaceous perennial with a small genome, short reproductive cycle, and facile vegetative and generative propagation for genetic transformation. For(More)
In the last 10 yr, computer technology and information systems, and especially the World Wide Web system Official variety trial (OVT) information in soybean [Glycine max and the Internet, have affected many aspects of people’s (L.) Merr.]-producing states is critical to soybean growers in decisionlives. Because of the advantages of the web and database(More)
Knowledge of how diseases progress and transform is crucial for clinical decision making. Frequent pattern mining techniques, such as sequential pattern mining (SPM) algorithms, can automatically extract such knowledge from large collections of electronic medical records (EMR). However, EMR data are usually unorganized and highly noisy. Finding meaningful(More)
Anomaly detection in healthcare data like patient records is no trivial task. The anomalies in these datasets are often caused by mismatches between different types of feature, e.g., medications that do not match with the diagnoses. Existing anomaly detection methods do not perform well when detecting "mismatches" between multiple types of(More)
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