An enthusiastic and interdisciplinary researcher with expertise in computational science, which includes machine learning as well as data science to solve industrial and biological problems. Driven by the passion for statistical learning and programming, I have cracked various genomic codes of and published in world renowned journals.
Key concepts and skills used in biological data analysis:
1. Feature engineering (information theory, correlation and signal processing techniques)
2. Feature ranking and selection techniques (optimal feature set selection, genetic algorithm, feature ranking, etc.).
3. Feature extraction and multivariate analysis (PCA, LDA)
4. Machine learning techniques ...
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