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Global Virology III: Virology in the 21st Century
Novel experimental and sequencing techniques have led to an exponential explosion and spiraling of data in viral genomics. To analyse such data, rapidly gain information, and transform this information to knowledge, interdisciplinary approaches involving several different types of expertise are necessary. Machine learning has been in the forefront of providing models with increasing accuracy due to development of newer paradigms with strong fundamental bases. Support Vector Machines (SVM) isdoi:10.1007/978-3-030-29022-1_12 fatcat:leaxfnxiuze2jbuyenwps7qcve