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Full-Text Articles in Physical Sciences and Mathematics
Detecting Myocardial Infarctions Using Machine Learning Methods, Aniruddh Mathur
Detecting Myocardial Infarctions Using Machine Learning Methods, Aniruddh Mathur
Master's Projects
Myocardial Infarction (MI), commonly known as a heart attack, occurs when one of the three major blood vessels carrying blood to the heart get blocked, causing the death of myocardial (heart) cells. If not treated immediately, MI may cause cardiac arrest, which can ultimately cause death. Risk factors for MI include diabetes, family history, unhealthy diet and lifestyle. Medical treatments include various types of drugs and surgeries which can prove very expensive for patients due to high healthcare costs. Therefore, it is imperative that MI is diagnosed at the right time. Electrocardiography (ECG) is commonly used to detect MI. ECG …
Toward On-Demand Profile Hidden Markov Models For Genetic Barcode Identification, Jessica Sheu
Toward On-Demand Profile Hidden Markov Models For Genetic Barcode Identification, Jessica Sheu
Master's Projects
Genetic identification aims to solve the shortcomings of morphological identification. By using the cytochrome c oxidase subunit 1 (COI) gene as the Eukaryotic “barcode,” scientists hope to research species that may be morphologically ambiguous, elusive, or similarly difficult to visually identify. Current COI databases allow users to search only for existing database records. However, as the number of sequenced, potential COI genes increases, COI identification tools should ideally also be informative of novel, previously unreported sequences that may represent new species. If an unknown COI sequence does not represent a reported organism, an ideal identification tool would report taxonomic ranks …
Species Classification Using Dna Barcoding And Profile Hidden Markov Models, Sphoorti Poojary
Species Classification Using Dna Barcoding And Profile Hidden Markov Models, Sphoorti Poojary
Master's Projects
Traditional classification systems for living organisms like the Linnaean taxonomy involved classification based on morphological features of species. This traditional system is being replaced by molecular approaches which involve using gene sequences. The COI gene, also known as the ”DNA barcode” since it is unique in every species, can be used to uniquely identify organisms and thus, classify them. Classifying using gene sequences has many advantages, including correct identification of cryptic species(individuals which appear similar but belong to different species) and species which are extremely small in size. In this project, I worked on classifying COI sequences of unknown species …