DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes

Research article (Neurocomputing, 2019) · cited 59× · AI/ML
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DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes

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DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepetc-a-deep-convolutional-neural-network-architecture-for-investigating-and-classifying-electron-transport-chain-s-co
MLA “DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepetc-a-deep-convolutional-neural-network-architecture-for-investigating-and-classifying-electron-transport-chain-s-co.
BibTeX @misc{4ortxyz_deepetc-a-deep-convolutional-neural-network-architecture-for-investigating-and-classifying-electron-transport-chain-s-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes}}, year = {2026}, url = {https://4ort.xyz/entity/deepetc-a-deep-convolutional-neural-network-architecture-for-investigating-and-classifying-electron-transport-chain-s-co}, note = {Accessed: 2026-05-24}}
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