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Fangwei Chen

As seen in: Nature, Wiley Online Library, Dialnet - Universidad de La Rioja
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Articles by Fangwei Chen

A SAGA-like AP2-P-ARP1-GCN5 transcriptional complex targets pathogenesis-associated genes during the blood-stage development of Babesia gibsoni

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By Zhen Han, Yaxin Zheng, Wei Liu, Wanxin Luo, Chenglong Wu, Jianyu Wang, Fangwei Chen, Junlong Zhao
| Nature Verified
Abstract Babesiosis is an increasingly recognized tick-borne zoonosis. The asexual blood stage of its causative agent, Babesia, drives pathological damages in the host and can cause severe or fatal human infections. Nevertheless, the transcriptional regulatory mechanisms that control this developmental stage remain poorly characterized. Here, we identified a novel ApiAP2 transcription factor (AP2-P; pathogenesis), which is essential in the blood-stage development of B. gibsoni.
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A Grayson-type theorem for star-shaped curves

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By Jianbo Fang, Fangwei Chen, Yunlong Yang
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda A Grayson-type theorem for star-shaped curves Fang, Jianbo [1] ; Chen, Fangwei [1] ; Yang, Yunlong [2] [1] Guizhou University of Finance and Economics [2] Dalian Maritime University Localización: Collectanea mathematica, ISSN 0010-0757, Vol. 76, Fasc. 1, 2025, págs. 151-162 Idioma: inglés Texto completo no disponible (Saber más ...) Resumen This paper focuses on a length-preserving flow for star-shaped curves with respect to the origin.
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CDTC: Automatically establishing the trace links between class diagrams in design phase and source code

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By Li Zhang, Xiaoli Lian, Fangwei Chen
| Wiley Online Library Verified
• , , . An empirical investigation on the relation between analysis models and source code comprehension. Proceedings of the 2010 ACM Symposium on Applied Computing . . • . The quest for open source projects that use UML: mining GitHub. Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems . . • , , . An improved mapping method for automated consistency check between software architecture and source code.
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