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Disease occurs due to aberrant modulation of biological pathways. Identification of activated gene pathways from gene expression data is an important problem. In this work, we develop a framework identifying activated pathways that incorporates cellular location of the gene, using gene ontology databases, in addition to gene expression data. This information is combined using Laplacian Eigenmaps to...
We present a factor analysis method that accounts for possible temporal misalignment of the factor loadings across the population of samples. Our main hypothesis is that the data contains a subset of variables with similar but delayed profiles obeying a consistent precedence ordering relationship. Our model is motivated by the difficulty of gene expression analysis across subjects who have common...
DDRT-PCR is an effective and quick method to study differentially expressed genes on the same cells under differently physiological status and different stages. In this study fluorescence DDRT-PCR was used to compare mRNA of peripheral leucocytes of Common Carp stimulated and non-stimulated by mitogens (LPA, ConA and PHA) in different times such as 4 h, 12 h and 24 h. According to bioinformatic technology...
According to the World Health Organization (WHO), over 1-3 million children under the age of five die due to malaria each year. The aim of this project is to increase our understanding of the Plasmodiumchabaudi parasite and of its interactions with the mammalian host using a computational approach. This is achieved by applying a time-series clustering algorithm to a publicly available short time-series...
To explore the difference of gene expression in rat mesenchymal stem cell (MSC) and in the hippocampus of the Alzheimerpsilas disease (AD) model rats on Natural Brain-Kinetine by Gene chips. Methods: Rat MSC is primary cultured according to method-routie. The MSCs have two groups, the control group and treatment group without or with Natural Brain-Kinetine (NBK) respectively. MSCs gene expression...
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