{ "item_title" : "Handbook of Machine Learning Applications for Genomics", "item_author" : [" Sanjiban Sekhar Roy", "Y. -H Taguchi "], "item_description" : "Local and global characterization of genomic data.- DNA sequencing using RNN.- Deep learning to study functional activities of DNA sequence.- Autoencoders for gene clastering.- Dimension reduction in gene expression using deep learning.- To predict DNA methylation states using deep learning.- Transfer learning in genomics.- CNN model to analyze gene expression images.- Gene expression Prediction using advanced machine learning.- Predicting splicing regulation using deep learning.- Transcription factor binding site prediction using deep learning.- Deep learning for prediction of structural classification of proteins.- Prediction of secondary strucure of RNA using advanced machine learning and deep learning.- Deep learning for pepositioning of drug and pharmacogenomics.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/169/157/9811691576_b.jpg", "price_data" : { "retail_price" : "279.99", "online_price" : "279.99", "our_price" : "279.99", "club_price" : "279.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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