Mohammad Hossain Mollah

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Microarray data enables the high-throughput survey of mRNA expression profiles at the genomic level; however, the data presents a challenging statistical problem because of the large number of transcripts with small sample sizes that are obtained. To reduce the dimensionality, various Bayesian or empirical Bayes hierarchical models have been developed.(More)
BACKGROUND Identifying genes that are differentially expressed (DE) between two or more conditions with multiple patterns of expression is one of the primary objectives of gene expression data analysis. Several statistical approaches, including one-way analysis of variance (ANOVA), are used to identify DE genes. However, most of these methods provide(More)
e14578 Background: Identification of molecular predictors of response is important in the aspect of personalization of treatment, especially in the era of molecular targeted drugs. Antibody-dependent cell-mediated cytotoxicity (ADCC) is suggested as one of the main mechanism of action of T. Moreover, PBMC specimens can securely be obtained with minimal(More)
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