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中国人民大学统计学院李扬教授及学生在期刊Genome Biology发表论文（图）
李扬 数据分析 生物统计
2024/11/26
中国人民大学统计学院李扬教授及博士生吴明聪在《Genome Biology》发表论文，提出基于混合零膨胀负二项模型的单细胞数据聚类分析方法，能够有效控制表达数据中的技术脱落及批次混杂问题，并创新性地利用惩罚技术实现同步的高度变异基因识别，是探索细胞间的异质性及与异质性机制形成相关的基因表达研究的有力工具。研究结果显示，该方法在异质性和基因识别方面均具有一定优势。
Factored expectation propagation for input-output FHMM models in systems biology
input output factored hidden Markov models approximate inference variational inference expectation propagation systems biology microarray data
2013/6/14
We consider the problem of joint modelling of metabolic signals and gene expression in systems biology applications. We propose an approach based on input-output factorial hidden Markov models and pro...
Deriving chemosensitivity from cell lines: Forensic bioinformatics and reproducible research in high-throughput biology
Microarrays, reproducibility forensic bioinformatics
2010/10/19
High-throughput biological assays such as microarrays let us ask very detailed questions about how diseases operate, and promise to let us personalize therapy. Data processing, however, is often not d...