{ "item_title" : "Computational Intelligence Methods for Bioinformatics and Biostatistics", "item_author" : [" Massimo Bartoletti", "Annalisa Barla", "Andrea Bracciali "], "item_description" : "An open-source tool for managing time-evolving variant annotation.- Extracting few representative reconciliations with host-switches.- A quantitative and qualitative characterization of k-mer based alignment-free phylogeny construction.- Cancer mutational signatures identification with sparse dictionary learning.- Icing: Large-scale inference of immunoglobulin clonotypes.- Adenine: a HPC-oriented tool for biological data exploration.- Disease-genes must guide fata dource integration in the gen prioritization process.- Ensembling fescendant term classifiers to improve gene - Abnormal phenotype predictions.- GP-based grammatical inference for classification of amyloidogenic sequences.- Estimation of kinetic reaction constants: Exploiting reboot strategies to improve PSO's performance.- Haplotype and repeat separation in long reads.- Tumor subclonal progression model for cancer hallmark acquisition.- GIMLET: Identifying biological modulators in context-specific gene regulation using local energy statistics.- Structural features of a DPPG liposome layer adsorbed on a rough surface.- Chemical exchanges and actuation in liposome-based synthetic cells: Interaction with biological cells.- A nano communication system for CTC detection in blood vessels.- Experimental evidences suggest high between-vesicle diversity of articial vesicle populations: Results, models and implications.- Towards the synthesis of photo-autotrophic protocells.- Hierarchical block matrix approach for multi-view clustering.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/014/159/3030141594_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "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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