Entropy
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Griffin, A. T., Vlahos, L. J., Chiuzan, C., & Califano, A. (2023). NaRnEA: An Information Theoretic Framework for Gene Set Analysis. Entropy, 25(3), 542. https://doi.org/10.3390/e25030542
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Columbia Affiliation
Department of Systems Biology; Vagelos College of Physicians and Surgeons; Department of Biochemistry and Molecular Biophysics; Department of Biomedical Informatics; Department of Medicine; Division of Hematology/Oncology; Mailman School of Public Health; Department of Biostatistics; Herbert Irving Comprehensive Cancer Center; JP Sulzberger Columbia Genome Center
Finotti, E., Quesada, A., Ciaccio, E. J., Garan, H., Hornero, F., Alcaraz, R., & Rieta, J. J. (2022). Practical Considerations for the Application of Nonlinear Indices Characterizing the Atrial Substrate in Atrial Fibrillation. Entropy, 24(9), 1261. https://doi.org/10.3390/e24091261
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Columbia Affiliation
Lin, B. (2021). Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers. Entropy, 24(1), 59. https://doi.org/10.3390/e24010059
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Columbia Affiliation
Barua, P. D., Chan, W. Y., Dogan, S., Baygin, M., Tuncer, T., Ciaccio, E. J., Islam, N., Cheong, K. H., Shahid, Z. S., & Acharya, U. R. (2021). Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images. Entropy, 23(12), 1651. https://doi.org/10.3390/e23121651
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Columbia Affiliation