GitHub

NanoRMS: predicting NANOpore Rna Modification Stoichiometry

NanoRMS predicts modification stoichiometries by classifying reads into modified/unmodified, based on their per-read features (current intensity, dwell time and/or trace). NanoRMS can be run in single ...
Scientific Research Publishing

Spatial Heterogeneity Modeling Using Machine Learning Based on a Hybrid of Random Forest and Convolutional Neural Network (CNN) ()

1 Department of Mathematics, Pan African University, Institute for Basic Sciences, Technology and Innovation (PAUISTI), Nairobi, Kenya. 2 Department of Statistics and Actuarial Science, Jomo Kenyatta ...
GitHub

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...