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2) Methods and Techniques for miRNA Data Analysis
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3) Bioinformatics and Microarray Data Analysis on The Cloud
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4) Classification and Clustering on Microarray Data for Gene Functional Prediction using R
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5) Querying co-regulated genes on diverse gene expression datasets via biclustering
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6) MetaMirClust: Discovery and Exploration of Evolutionarily Conserved miRNA Clusters
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7) Analysis of Gene Expression Patterns using Biclustering
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8) Using semantic Similarities and csbl.go for Analyzing Microarray Data
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9) Ontology Based Analysis of Microarray Data
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10) Integrated Analysis of Transcriptomic and Proteomic Datasets Reveals Information on Protein Expressivity and Factors Affecting Translational Efficiency
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11) Integrating Microarray Data and GRNs
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12) Biological Network Inference from Microarray Data, Current Solutions and Assessments
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13) A Protocol to Collect Specific Mouse Skeletal Muscles for Metabolomics Studies
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14) Functional Analysis of microRNA in Multiple Myeloma
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15) Microarray Analysis in Glioblastomas
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16) Analysis of microRNA Microarrays in Cardiogenesis
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