Article

Effective expression analysis using gene interaction matrices and convolutional neural networks

2021-09-07

Abstract excerpt

Artificial intelligence recently experienced a renaissance with the advancement of convolutional neural networks (CNNs). CNNs require spatially meaningful matrices ( e.g ., image data) with recurring patterns, limiting its applicability to high-throughput omics data. We present GIM, a simple, CNN-ready framework for omics data to detect both individual and network-level entities of biological importance. Using ge...

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Literature Corpus work: 489115e7-2d87-5f2a-8767-dcc3d0b68450
DOI: 10.1101/2021.09.07.459284

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