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Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Discover the fundamentals of linear regression and its applications. Learn more and enhance your data analysis skills today.
EHR data may be particularly suitable for machine learning (ML) techniques, as such algorithms can process high-dimensional data and capture nonlinear relationships between variables. By comparison, ...
Keywords: genome-wide association study, mixed linear model, multi-locus algorithm, statistical power, polygenic background, minor effect Citation: Zhang J, Chen M, Wen Y, Zhang Y, Lu Y, Wang S and ...
We ran five different machine learning algorithms: Decision Tree, K Nearest Neighbours, Linear Regression, Random Forest and Support Vector Regression.
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