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GeneMine's Projects

cellforest icon cellforest

Cell Forest is a method for single cell clustering that is aimed at improving clustering accuracies through feature selection. Based on a large-scale analysis of 20 real world scRNA-seq datasets that cover a wide spectrum of biological scenarios, it was found that Cell Forest achieved, on average, superior performances to six benchmark methods inlcuding RAFSIL2, SIMLR and SC3.

dishyper icon dishyper

DISHyper (DIsease-Specific Hypergraph neural network) is a novel hypergraph-based cancer gene identification method.

feed icon feed

a feature extraction method based on gene expression decomposition for single-cell clustering

isocell icon isocell

An approach to enhance single cell clustering by integrating isoform-level expression through orthogonal projection

isodetect icon isodetect

A method to detect splice isoforms from long reads

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