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Data Processing and Analysis

Brain Imaging Processing Analysis

Zeng, H. (2018). Mesoscale Connectomics. Current Opinion in Neurobiology.  PDF

Vértes, P. E. (2023). Computational models of typical and atypical brain network development. Biological Psychiatry.  PDF

Bargmann, C. I., & Marder, E. (2013). From the connectome to Brain Function. Nature MethodsPDF

Ardesch, D. J., Scholtens, L. H., & van den Heuvel, M. P. (2019). The human connectome from an evolutionary perspective. Progress in Brain ResearchPDF

CV NLP for behaviors

Barron, H. C., Mars, R. B., Dupret, D., Lerch, J. P., & Sampaio-Baptista, C. (2021, January 4). Cross-species neuroscience: Closing the explanatory gap. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. PDF

Causal Inference

Dickerman, B. A., & Hernán, M. A. (2020). Counterfactual prediction is not only for causal inference. European Journal of Epidemiology. PDF

Nogueira, A. R., Pugnana, A., Ruggieri, S., Pedreschi, D., & Gama, J. (2022). Methods and tools for causal discovery and causal inference. WIREs Data Mining and Knowledge Discovery. PDF

Transfer Learning

Kowald, A., Barrantes, I., Möller, S., Palmer, D., Murua Escobar, H., Schwerk, A., & Fuellen, G. (2022). Transfer learning of clinical outcomes from preclinical molecular data. Principles and Perspectives. Briefings in Bioinformatics. PDF

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