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What machine learning can do for developmental biology
2021
Development
ABSTRACTDevelopmental biology has grown into a data intensive science with the development of high-throughput imaging and multi-omics approaches. Machine learning is a versatile set of techniques that can help make sense of these large datasets with minimal human intervention, through tasks such as image segmentation, super-resolution microscopy and cell clustering. In this Spotlight, I introduce the key concepts, advantages and limitations of machine learning, and discuss how these methods are
doi:10.1242/dev.188474
pmid:33431591
fatcat:g6umzaselzeznak4uu7lhx2nsy