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Jiaying Lai on Muck Rack

Jiaying Lai

As seen in: Nature, MDPI, BioRxiv, Dialnet - Universidad de La Rioja
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Articles

SVCFit: Inferring structural variant cellular fraction in tumors

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By YunZhou Liu, Jiaying Lai, Laura Wood, Rachel Karchin
| BioRxiv
Abstract Many tumors evolve through cellular mutation and selection, where subpopulations of cells (subclones) with shared ancestry compete for dominance. Introduction of next generation sequencing enables subclone identification using small somatic. However, there are several advantages to marking subclones with structural variants: they have greater functional impact, play a crucial role in late-stage tumors, and provide a more complete view of genomic instability driving tumor evolution.
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Intratumoral heterogeneity drives acquired therapy resistance in a patient with metastatic prostate cancer - npj Precision Oncology

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By Jiaying Lai, David E. Sanin, Tamara L. Lotan
| Nature Verified
Abstract Metastatic prostate cancer (PCa) is not curable due to its ability to acquire therapy resistance. Theoretically, acquired therapy resistance can be driven by changes to previously sensitive cancer cells or their environment and/or by outgrowth of a subpopulation of cancer cells with primary resistance. Direct demonstration of the latter mechanism in patients with PCa is lacking.
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Exploring Consumer Acceptance of AI-Generated Advertisements: From the Perspectives of Perceived Eeriness and Perceived Intelligence

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By Chenyan Gu, Shuyue Jia, Jiaying Lai, Ruli Chen
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda Exploring Consumer Acceptance of AI-Generated Advertisements: From the Perspectives of Perceived Eeriness and Perceived Intelligence Chenyan Gu [1] ; Shuyue Jia [1] ; Jiaying Lai [1] ; Ruli Chen [1] ; Xinsiyu Chang [1] [1] Guangdong University of Technology, Guangzhou 510006, China Localización: Journal of Theoretical and Applied Electronic Commerce Research, ISSN-e 0718-1876, Vol. 19, Nº. 3, 2024, págs.
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