Title | Computational Intelligence Methods for Bioinformatics and Biostatistics [electronic resource] : 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers / edited by Massimo Bartoletti, Annalisa Barla, Andrea Bracciali, Gunnar W. Klau, Leif Peterson, Alberto Policriti, Roberto Tagliaferri |
---|---|
Imprint | Cham : Springer International Publishing : Imprint: Springer, 2019 |
Edition | 1st ed. 2019 |
Connect to | https://doi.org/10.1007/978-3-030-14160-8 |
Descript | X, 213 p. 70 illus., 43 illus. in color. online resource |
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