GitHub / farazkhancodes / Predictive-Modelling-of-Multimodal-Single-Cell-Genomic-Data-with-Machine-Learning-Algorithms

This code demonstrates the use of machine learning to model the multimodal nature of a single cell. Using machine learning to predict RNA from DNA, that is, using chromatin accessibility data to predict the RNA gene expression and to predict surface protein from RNA, that is, using RNA sequence data to predict surface protein levels in a cell

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Topics: catboost, ensemble-machine-learning, gpu-acceleration, keras-tensorflow, lightgbm-regressor, matplotlib, mlp-regressor, numpy, pandas, scikit-learn, scipy, seaborn, sparse-matrix, xgboost

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