A Unified Bayesian Framework for Bi-overlapping-Clustering Multi-omics Data via Sparse Matrix Factorization
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Special Issue: Machine Learning Algorithms in Genomics and Genetics
This Special Issue is dedicated to Machine Learning Algorithms in Genomics and Genetics.
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Yingying Wei
Dr. Yingying Wei is an Associate Professor in the Department of Statistics at the Chinese University of Hong Kong. She obtained her bachelor’s degree in Mathematics from Tsinghua University in 2009 and her MSc Eng degree in Computer Science and PhD degree in Biostatistics from Johns Hopkins University in 2014. Her research focuses on developing statistical methods for analysing noisy, complex and heterogeneous big genomic data.
Articles (7 in this collection)
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Detection of Cell Separation-Induced Gene Expression Through a Penalized Deconvolution Approach
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scPI: A Scalable Framework for Probabilistic Inference in Single-Cell RNA-Sequencing Data Analysis
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Estimating Heterogeneous Treatment Effect on Multivariate Responses Using Random Forests
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