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Imbalanced volunteer engagement in cultural heritage crowdsourcing: a task-related exploration based on causal inference
Inferencing causality using data from Australia’s largest cultural heritage crowdsourcing platform reveals that the spontaneous …
Xuanhui Zhang, Weijia Zhang, Yuxiang (Chris) Zhao, Qinghua Zhu
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Imbalanced volunteer engagement in cultural heritage crowdsourcing: a task-related exploration based on causal inference
A general framework for causal classification
In many applications, there is a need to predict the effect of an intervention on different individuals from data. For example, which …
Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu
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Assessment of network module identification across complex diseases
Sarvenaz Choobdar, and Mehmet E. Ahsen, Jake Crawford, Mattia Tomasoni, Tao Fang, David Lamparter, Junyuan Lin, Benjamin Hescott, Xiaozhe Hu, Johnathan Mercer, Ted Natoli, Rajiv Narayan, Weijia Zhang (in The DREAM Module Identification Challenge Consortium), Aravind Subramanian, Jitao D. Zhang, Gustavo Stolovitzky, Zoltán Kutalik, Kasper Lage, Donna K. Slonim, Julio Saez-Rodriguez, Lenore J. Cowen, Sven Bergmann, Daniel Marbach
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Large expert-curated database for benchmarking document similarity detection in biomedical literature search
Peter Brown, Weijia Zhang (in The RELISH Consortium), Yaoqi Zhou
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Estimating heterogeneous treatment effect by balancing heterogeneity and fitness
Weijia Zhang, Thuc Duy Le, Lin Liu, Jiuyong Li
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miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase
Taosheng Xu, Ning Su, Lin Liu, Junpeng Zhang, Hongqiang Wang, Weijia Zhang, Jie Gui, Kui Yu, Jiuyong Li, Thuc Duy Le
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Mining heterogeneous causal effects for personalized cancer treatment
A method for estimating heterogeneous treatment effects from survival data.
Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li
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Mining heterogeneous causal effects for personalized cancer treatment
Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles
Weijia Zhang, Thuc Duy Le, Lin Liu, Zhi-Hua Zhou, Jiuyong Li
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