By Julio Saez-Rodriguez, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz Santana
Biological and biomedical study are more and more pushed by way of experimental recommendations that problem our skill to examine, procedure and extract significant wisdom from the underlying facts. The notable features of subsequent new release sequencing applied sciences, including novel and ever evolving targeted varieties of omics facts applied sciences, have placed an more and more complicated set of demanding situations for the transforming into fields of Bioinformatics and Computational Biology. The research of the datasets produced and their integration demand new algorithms and methods from fields akin to Databases, information, information Mining, computing device studying, Optimization, computing device technological know-how and synthetic Intelligence. in actual fact, Biology is an increasing number of a technology of knowledge requiring instruments from the computational sciences. within the previous few years, we've seen the surge of a brand new new release of interdisciplinary scientists that experience a robust heritage within the organic and computational sciences. during this context, the interplay of researchers from various medical fields is, greater than ever, of most efficient significance boosting the study efforts within the box and contributing to the schooling of a brand new iteration of Bioinformatics scientists. PACBB‘14 contributes to this attempt selling this fruitful interplay. PACBB'14 technical application incorporated 34 papers spanning many various sub-fields in Bioinformatics and Computational Biology. consequently, the convention promotes the interplay of scientists from diversified study teams and with a special heritage comparable to laptop scientists, mathematicians or biologists.
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Extra resources for 8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014) (Advances in Intelligent Systems and Computing)
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That is, to describe the relationship of the results obtained to the risk of cardiovascular disease estimated with the Framingham or similar scale and markers of cardiovascular target organ damage. Platform Image Processing Applied to the Study of Retinal Vessels 29 Acknowledgements. This work has been carried out by the project Sociedades HumanoAgente: Inmersión, Adaptación y Simulación. TIN2012-36586-C03-03. Ministerio de Economía y Competitividad (Spain). Project co-financed with FEDER funds.
Etc. This deﬁnes the triplet elements. The triplet elements are used to represent the local structure-sequence features of the hairpin. The occurrence of all triplet elements are counted along a hairpin segment, developing a 32-dimensional feature vector, which is normalized and presented as an input vector to the SVM classiﬁer. Improving miRNA Classiﬁcation Using an Exhaustive Set of Features 33 The SVM classiﬁer is trained depending on the triplet element features of a set of real human pre-miRNAs from the miRNA Registry database  and a set of pseudo pre-miRNAs from the NCBI RefSeq database .