Utilization of Time Series Tools in Life-sciences and Neuroscience.
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ABSTRACT: Time series tools are part and parcel of modern day research. Their usage in the biomedical field; specifically, in neuroscience, has not been previously quantified. A quantification of trends can tell about lacunae in the current uses and point towards future uses. We evaluated the principles and applications of few classical time series tools, such as Principal Component Analysis, Neural Networks, common Auto-regression Models, Markov Models, Hidden Markov Models, Fourier Analysis, Spectral Analysis, in addition to diverse work, generically lumped under time series category. We quantified the usage from two perspectives, one, information technology professionals', other, researchers utilizing these tools for biomedical and neuroscience research. For understanding trends from the informat
SUBMITTER: Gujral H
PROVIDER: S-EPMC7727047 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
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