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Junseok0207/README.md

Hi I'm Junseok Lee! 👋

I'm affiliated with the Data Science and Artificial Intelligence Laboratory (DSAIL) at the Korea Advanced Institute of Science and Technology (KAIST). Currently, I'm dedicated to obtaining a Ph.D. in Industrial & Systems Engineering. My primary research focus involves the application of machine learning to Bioinformatics, particularly in the context of Single-cell RNA sequencing data analysis.

My broader research interests encompass:

  • Graph Neural Networks
  • Self-Supervised Learning
  • Bioinformatics

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  1. GraFN GraFN Public

    The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment"

    Python 24

  2. scGPCL scGPCL Public

    The official source code for "Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning", accepted at Bioinformatics (Volume 39, June 2023) and 2023 ICML workshop on Com…

    Jupyter Notebook 19 1

  3. scFP scFP Public

    The official source code for "Single-cell RNA-seq data imputation using Feature Propagation", accepted at 2023 ICML Workshop on Computational Biology (Best Paper, Contributed talk).

    Python 10

  4. scBFP scBFP Public

    The official source code for "Single-cell RNA-seq data imputation using Bi-level Feature Propagation", accepted at Briefings in Bioinformatics (Volume 25, May 2024).

    Python 6