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Hi there 👋, My name is Rafat Eissa

A Passionate Plant Bioinformatician

💫 Little Bit More About Me

INTERESTS:

🤩 Imploying mahcine learning into plant molecular breeding 🤩

Plant Molecular Biology.

Sustainable agriculture

💻 Skills

Advances in high-throughput technologies have led to an intensive accumulation of biological omics data. Each type of omics data has its own characteristics, distribution, and errors associated with the technology, tissue source, and the instrument itself. Therefore, we need to develop robust methods to handle this vast data resource to accelerate progress in various biological fields.

An eager young mind and researcher interested in molecular plant biology and breeding. My own research interest lies in applying machine learning to integrate multi-omics data in order to simulate and predict complex traits in molecular plant breeding, including, but not limited to, genotype-to-phenotype prediction and genome simulation of plants.

I'm always interested in connecting with others in the field and exploring new opportunities to leverage machine learning for a more sustainable future.

Raafat A. Eissa's Projects

ai-scripts icon ai-scripts

Scripts of Artificial Intelligence and projects

apbmb-projects icon apbmb-projects

All of the work done in the Applied Plant Breeding and Microbial Biotechnology Lab

popallele icon popallele

PopAllele encodes and decode the genetic distribution of alleles within populations

raafata icon raafata

Config files for my GitHub profile.

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