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Bioinformatics with Python: Deep Learning Pipelines for Gene Expression Prediction using Python
Paperback
Publisher: Independently Published
Published: Oct 8 2025
Pages: 306
Weight: 0.91
Height: 0.64 Width: 6.00 Depth: 9.00
Language: English
From raw sequencing reads to deep learning-based gene expression models, this book teaches you how to design, automate, and interpret complete bioinformatics workflows.
- Preprocess and visualize genomic and transcriptomic datasets
- Build and train deep learning models to predict gene activity
- Parse and analyze FASTQ, BAM, and VCF files using Python
- Apply reproducible workflows with Snakemake and Biopython
- Integrate public datasets and annotate variants programmatically
- Visualize biological insights with matplotlib and seaborn
Whether you're a biologist learning to code or a data scientist entering genomics, this book gives you the essential toolkit to move from raw data to biological discovery - confidently and reproducibly.
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