By Julio Saez-Rodriguez, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz Santana
Biological and biomedical examine are more and more pushed through experimental thoughts that problem our skill to examine, approach and extract significant wisdom from the underlying information. The extraordinary functions of subsequent iteration sequencing applied sciences, including novel and ever evolving targeted different types of omics information applied sciences, have positioned an more and more advanced set of demanding situations for the becoming fields of Bioinformatics and Computational Biology. The research of the datasets produced and their integration demand new algorithms and techniques from fields comparable to Databases, facts, info Mining, desktop studying, Optimization, desktop technological know-how and synthetic Intelligence. basically, Biology is a growing 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 iteration of interdisciplinary scientists that experience a robust historical past within the organic and computational sciences. during this context, the interplay of researchers from assorted clinical fields is, greater than ever, of greatest value boosting the study efforts within the box and contributing to the schooling of a brand new new release of Bioinformatics scientists. PACBB‘14 contributes to this attempt selling this fruitful interplay. PACBB'14 technical software incorporated 34 papers spanning many alternative sub-fields in Bioinformatics and Computational Biology. as a result, the convention promotes the interplay of scientists from diversified examine teams and with a special history equivalent to computing device scientists, mathematicians or biologists.
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Additional resources for 8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014)
F. ) Proceedings of IWPACBB 2008. ASC, vol. 49, pp. 102–111. : Some suggestions about appropriate use of the Kruskal– Wallis test. : A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis. : Knowledge-based system to define context in commercial applications. In: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007) and 3rd ACIS International Workshop on Self-Assembling Wireless Networks (SAWN 2007), Qingdao, Tsingtao, China, Julio 27-29, pp.
This strategy is unable to recognize new miRNAs for which there are no known close homologies. Therefore, the attitude turned towards focusing on machine learning methods to distinguish real pre-miRNAs from pseudo pre-miRNA. The early machine learning methods used to discriminate real versus pseudo pre-miRNAs are miRScan , miRseeker , miRﬁnder , miRCheck  and miPred . Support vector machine systems have been built, aiming to obtain better results in predicting miRNAs such as miR-abela , Triplet-SVM , MiPred , miREncoding , microPred  and yasMiR.
The platform does not require user initialization, it is robust to the changes in the appearance of retinal fundus images typically encountered in clinical environments, and it is intended as a unified tool to link all the methods needed to automate all processes of measurement on the retinas. Section 2 introduces the platform and its most important characteristics, showing some of the relevant techniques and results. Finally, some conclusions and results are presented in section 3. 2 Description of the Platform The platform facilitates the study of structural properties of vessels, arteries and veins that are observed with a red-free fundus camera in the normal human eye.
8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014) by Julio Saez-Rodriguez, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz Santana