Deep Learning Genomic Imputation Pipeline Development
Budget: $15 – $25 USD
I need a deep learning-based genomic imputation pipeline. The primary goal is to improve the accuracy of the imputation process. The pipeline should be capable of handling both genomic array and sequencing data.
Key requirements for the project:
- The pipeline must support VCF and Fastq input formats.
- Experience with deep learning and genomic data processing is crucial.
- Familiarity with the methods used by Okada et al. 2024 would be beneficial.
The ideal freelancer for this project would have a strong background in bioinformatics, machine learning, and a deep understanding of genomic data.
Key requirements for the project:
- The pipeline must support VCF and Fastq input formats.
- Experience with deep learning and genomic data processing is crucial.
- Familiarity with the methods used by Okada et al. 2024 would be beneficial.
The ideal freelancer for this project would have a strong background in bioinformatics, machine learning, and a deep understanding of genomic data.
Related categories:
Business, Accounting, Human Resources & Legal
Python
Algorithm
Machine Learning (ML)
Data Science