Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research

Research article (Journal of Biomedical Informatics, 2019) · cited 30× · AI/ML
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Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research. Retrieved October 19, 2026, from https://4ort.xyz/entity/logistic-regression-paradigm-for-training-a-single-hidden-layer-feedforward-neural-network-application-to-gene-expressio
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BibTeX @misc{4ortxyz_logistic-regression-paradigm-for-training-a-single-hidden-layer-feedforward-neural-network-application-to-gene-expressio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research}}, year = {2026}, url = {https://4ort.xyz/entity/logistic-regression-paradigm-for-training-a-single-hidden-layer-feedforward-neural-network-application-to-gene-expressio}, note = {Accessed: 2026-10-19}}
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