Machine Learning Feature Extraction Pipeline for Genomic Data

Create a Node.js-based machine learning pipeline that performs automated feature extraction and preprocessing for large-scale genomic datasets. Utilize TensorFlow.js for neural network modeling and implement dimensionality reduction techniques like PCA and t-SNE. Design a modular architecture supporting multiple input formats (VCF, FASTQ) with built-in data validation, error tracking, and parallel processing capabilities. Include comprehensive logging and performance monitoring for genomic computational workflows.