Splet24. jun. 2011 · The significance of co-expression was then assessed by applying the clustering algorithm implemented in the short time-series expression miner STEM (version 1.3.6) [28,29] for co-expression profiling and a subsequent comparison of the number of genes assigned to a specific co-expression profile model to the expected number of … Splet05. apr. 2006 · Results: We introduce the Short Time-series Expression Miner (STEM) the first software program specifically designed for the analysis of short time series …
STEM: Short Time-series Expression Miner - Carnegie Mellon …
SpletBelow are some of the papers using the Short Time-series Expression Miner (STEM)software or method as part of the data analysis: M. Chamankhah, E. Eftekharpour, S. Karimi-Abdolrezaee, P.C. Boutros, S. San-Marina, M.G. Fehlings. Genome-wide gene expression profiling of stress response in a spinal cord clip compression injury model. SpletShort Time-Series Expression Miner (STEM) Analysis. We performed STEM analysis 32 of the GSE54514 dataset in order to cluster gene modules in healthy controls, sepsis … t107a
Short Time-Series Expression Miner (STEM) analysis of DEG …
SpletShort Time-Series Expression Miner (STEM) Analysis. We performed STEM analysis 32 of the GSE54514 dataset in order to cluster gene modules in healthy controls, sepsis survivors and sepsis patients who died. Clustering was significant if it was associated with P < 0.05. SpletFor the first time, transcriptome analysis based on short time-series expression miner (STEM) and histological observations were performed using the Holstein dairy cow mammary gland to explore gene expression patterns in this process of decrease (at peak, mid-, and late lactation). Splet23. okt. 2024 · STEM(Short Time-series Expression Miner)是一款专门针对梯度排序的表达量数据进行趋势分析的软件。 STEM趋势分析的意义 趋势分析将表达模式相似的基因 … t1087 - account discovery