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  1. COMA Public

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

    Jupyter Notebook 18

  2. RefDNN Public

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

    Python 14 11

  3. MolBit Public

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

    Jupyter Notebook 7 3

  4. G2Vec Public

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

    Python 9 4

  5. CPR Public

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

    Python 7 3

  6. ReBADD-SE Public

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

    Jupyter Notebook 1

52 contributions in the last year

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Activity overview

Contributed to mathcom/FPADMET, mathcom/MoHIMA, mathcom/MolBit and 40 other repositories
Loading A graph representing mathcom's contributions from February 18, 2024 to February 19, 2025. The contributions are 87% commits, 13% pull requests, 0% issues, 0% code review.

Contribution activity

February 2025

Created 2 repositories
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