Deep learning and support vector machines for transcription start site identification.

ABSTRACT: Recognizing transcription start sites is key to gene identification. Several approaches have been employed in related problems such as detecting translation initiation sites or promoters, many of the most recent ones based on machine learning. Deep learning methods have been proven to be exceptionally effective for this task, but their use in transcription start site identification has not yet been explored in depth. Also, the very few existing works do not compare their methods to support vector machines (SVMs), the most established technique in this area of study, nor provide the curated dataset used in the study. The reduced amount of published papers in this specific problem could be explained by this lack of datasets. Given that both support vector machines and deep neural networks ha

SUBMITTER: Barbero-Aparicio JA 

PROVIDER: S-EPMC10280436 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature