GRaph-based Analysis of Subcellular/Spatial Proteomics
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Updated
Jun 5, 2026 - Python
GRaph-based Analysis of Subcellular/Spatial Proteomics
Fine-tuning a pre-trained BERT Model (ProtBert) in PyTorch using DeepLoc Dataset
Improved method for predicting subcellular localization of eukaryotic proteins
Isoform-resolved subcellular localization of human lncRNAs: gene-level analysis masks compartment-spanning isoforms (dry-only, GTEx + ENCODE). Code for Tani, submitted.
Support Vector Machine-based method for subcellular localization of human proteins using amino acid compositions, their order, and similarity search
NuclQ - an ImageJ plugin to quantify intensity levels by distance to the nuclear membrane.
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