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Using Machine Learning Techniques For Finding Meaningful Transcripts In Prostate Cancer Progression, Siva Charan Reddy Singi Reddy
Using Machine Learning Techniques For Finding Meaningful Transcripts In Prostate Cancer Progression, Siva Charan Reddy Singi Reddy
Electronic Theses and Dissertations
Prostate Cancer is one of the most common types of cancer among Canadian men. Next generation sequencing that uses RNA-Seq can be valuable in studying cancer, since it provides large amounts of data as a source for information about biomarkers. For these reasons, we have chosen RNA-Seq data for prostate cancer progression in our study. In this research, we propose a new method for finding transcripts that can be used as genomic features. In this regard, we have gathered a very large amount of transcripts. There are a large number of transcripts that are not quite relevant, and we filter …
Classifying The Patterns Of Natural Arguments, Fabrizio Macagno, Douglas Walton
Classifying The Patterns Of Natural Arguments, Fabrizio Macagno, Douglas Walton
CRRAR Publications
The representation and classification of the structure of natural arguments has been one of the most important aspects of Aristotelian and medieval dialectical and rhetorical theories. This traditional approach is represented nowadays in models of argumentation schemes. The purpose of this article is to show how arguments are characterized by a complex combination of two levels of abstraction, namely, semantic relations and types of reasoning, and to provide an effective and comprehensive classification system for this matrix of semantic and quasilogical connections. To this purpose, we propose a dichotomous criterion of classification, transcending both levels of abstraction and representing not …