R packages by semran9

tfNeuralODE - Create Neural Ordinary Differential Equations with 'tensorflow'

Provides a framework for the creation and use of Neural ordinary differential equations with the 'tensorflow' and 'keras' packages. The idea of Neural ordinary differential equations comes from Chen et al. (2018) <doi:10.48550/arXiv.1806.07366>, and presents a novel way of learning and solving differential systems.

Last updated 1 years ago

4.00 score 1 stars 5 scripts 641 downloads

protHMM - Protein Feature Extraction from Profile Hidden Markov Models

Calculates a comprehensive list of features from profile hidden Markov models (HMMs) of proteins. Adapts and ports features for use with HMMs instead of Position Specific Scoring Matrices, in order to take advantage of more accurate multiple sequence alignment by programs such as 'HHBlits' <DOI:10.1038/nmeth.1818> and 'HMMer' <http://hmmer.org>. Features calculated by this package can be used for protein fold classification, protein structural class prediction, sub-cellular localization and protein-protein interaction, among other tasks. Some examples of features extracted are found in Song et al. (2018) <DOI:10.3390/app8010089>, Jin & Zhu (2021) <DOI:10.1155/2021/8629776>, Lyons et al. (2015) <DOI:10.1109/tnb.2015.2457906> and Saini et al. (2015) <DOI:10.1016/j.jtbi.2015.05.030>.

Last updated 2 years ago

3.70 score 1 stars 4 scripts 160 downloads