pengkenlim

mutwillab

CxNE_plants

Generation Co-expression Network Embeddings (CxNEs) for plant genes using Graph Attention Networks (GAT))

LSTrAP-denovo

LSTrAP-denovo is an easy-to-use pipeline to assemble and annotate transcripts for species without genome / genomic annotations using publicly available RNA-seq data.

Plant-GCN

Analyses and tools pertaining to Gene Coexpression Network Analyses of the Plant Kingdom

TEA-GCN

Two-Tier Ensemble Aggregation Gene Co-expression Network (TEA-GCN): Capturing tissue/condition-specific co-expression from large transcriptomic datasets

pengkenlim/TEA-GCN

Two-Tier Ensemble Aggregation Gene Co-expression Network (TEA-GCN): Capturing tissue/condition-specific co-expression from large transcriptomic datasets

pengkenlim/LSTrAP-denovo

LSTrAP-denovo is an easy-to-use pipeline to assemble and annotate transcripts for species without genome / genomic annotations using publicly available RNA-seq data.

pengkenlim/Plant-GCN

Analyses and tools pertaining to Gene Coexpression Network Analyses of the Plant Kingdom

pengkenlim/CxNE_plants

Generation Co-expression Network Embeddings (CxNEs) for plant genes using Graph Attention Networks (GAT))