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  1. COMA COMA Public

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

    Jupyter Notebook 16

  2. RefDNN RefDNN Public

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

    Python 12 12

  3. MolBit MolBit Public

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

    Jupyter Notebook 6 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