A self-adaptive weighted differential evolution approach for large-scale feature selection

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  HMRF: Development of Big Data Tools for High-Throughput Sequencing Data with Applications to Colorectal Cancer Genomes

  WONG, K. C. (Principal Investigator / Project Coordinator) & WANG, X. (Co-Investigator)

  1/09/20 → 13/11/23

  Project: Research

  • Deep Learning Method 100%
  • High Throughput 87%
  • Multiobjective 46%
  • RNA Sequencing 46%
  • RNA Sequence 44%

• GRF: Heterodimeric DNA Motif Synthesis and Validations

  WONG, K. C. (Principal Investigator / Project Coordinator) & SONG, Y. Q. (Co-Investigator)

  1/12/18 → 29/11/22

  Project: Research

  • High Throughput 100%
  • Deep Learning Method 85%
  • Multiobjective 73%
  • Clustering Algorithm 55%
  • Computational Modeling 46%