On tower and checkerboard neural network architectures for gene expression inference

On tower and checkerboard neural network architectures for gene expression inference

Abstract Background One possible approach how to economically facilitate gene expression profiling is to use the L1000 platform which measures the expression of ∼1,000 landmark genes and uses a computational method to infer the expression of another ∼10,000 genes. One such method for the gene expres...

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Bibliographic Details
Main Authors: Vladimír Kunc, Jiří Kléma
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Genomics
Subjects:
Neural network
Tower architecture
Gene expression
Checkerboard architecture
Online Access:https://doi.org/10.1186/s12864-020-06821-6

Internet

https://doi.org/10.1186/s12864-020-06821-6

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