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- Code for: Optimizing treatment combination for lymphoma using artificial intelligenceSource code (C++) to replicate the simulations and graphs of "Optimizing treatment combination for lymphoma using an optimization heuristic" by N. Houy and F. Le Grand
- Dataset
- Data for: Predicting miRNA-lncRNA interactions and recognizing their regulatory roles in stress response of plants1. The fasta formats: miRNA, mRNA, lncRNA is used as input on the online tools psRNATarget and TAPIR. 2. The excel format was used in the network construction. 3. Excel format used for SVR model prediction.
- Dataset
- Numerical experiments source codeNetlogo source code for the simulations of the model presented in the article.
- Dataset
- Data for: Coexistence and bistability of a competition model in open advective environmentsOur research interests include reaction-diffusion models and mathematical biology
- Dataset
- Code for 'Rate-limiting recovery processes in neurotransmission under sustained stimulation'This code was used for the simulations in our article 'Rate-limiting recovery processes in neurotransmission under sustained stimulation'. This is part of the MATH+ Project AA1-5 Space-Time Stochastic Models for Neurotransmission Processes.
- Other
- Data supporting amphibian thyroid model parameterizationThis dataset was generated to support parameterization of a larval amphibian thyroid axis computational model. Specifically, plasma iodine levels were determined not only to inform a concentration value for model parameter specification in the model, but also to support the notion that aquatic and terrestrial species should be considered substantially different with regard to circulating iodide levels. Other computational model physical parameters were informed by evaluating Xenopus laevis thyroid gland histological images for morphological features including thyroid follicular cell numbers and areas.
- Dataset