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1. COMA COMA Public

   COMA: Efficient Structure-constrained Molecular Generation using Contractive and Margin losses

   Jupyter Notebook 18

2. RefDNN RefDNN Public

   RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance (Scientific Reports)

   Python 14 11

3. MolBit MolBit Public

   De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem (BIBM 2021)

   Jupyter Notebook 7 2

4. G2Vec G2Vec Public

   G2Vec: Distributed gene representations for identification of cancer prognostic genes (Scientific Reports)

   Python 9 3

5. CPR CPR Public

   Identification of heterogeneous biomarkers for breast cancer using Clustering and PageRank algorithms (bioinformatics)

   Python 7 3

6. ReBADD-SE ReBADD-SE Public

   ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training

   Jupyter Notebook 1