Pinned Repositories
HyDML
A hybrid ensemble feature selection method for identifying differential methylation sites.
HyFeaL
A fast and accurate dimension reduction framework for meth-ylation microarray data analysis using hybrid feature learning
MRCNN
MRCNN provides a deep-learning method for prediction of single-CpG-site methylation level with only local DNA sequences. It is implemented by deep learning library Tensorflow (version of tensorflow-gpu 1.2.0). It can be used for regression of continuous value of methylation and at present it is used for human methylation.
scMelody
Ensemble clustering for single-cell methylation data with a double weighting strategy
SINCEF
Single-cell DNA methylome clustering by reconstructing dissimilarity matrix with embedding fusion
TQBio's Repositories
TQBio/MRCNN
MRCNN provides a deep-learning method for prediction of single-CpG-site methylation level with only local DNA sequences. It is implemented by deep learning library Tensorflow (version of tensorflow-gpu 1.2.0). It can be used for regression of continuous value of methylation and at present it is used for human methylation.
TQBio/HyDML
A hybrid ensemble feature selection method for identifying differential methylation sites.
TQBio/HyFeaL
A fast and accurate dimension reduction framework for meth-ylation microarray data analysis using hybrid feature learning
TQBio/scMelody
Ensemble clustering for single-cell methylation data with a double weighting strategy
TQBio/SINCEF
Single-cell DNA methylome clustering by reconstructing dissimilarity matrix with embedding fusion