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Python Essentials for Biomedical Data Analysis: An Introductory Textbook

This introductory book is a beginner-friendly resource that empowers you to harness Python programming for exploring and understanding biomedical data. In today’s data-driven world, the ability to analyze and interpret complex datasets is a vital skill—especially in biomedicine, where data-driven in...

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Bibliografske podrobnosti
Glavni avtor: Kazi, Julhash U. (Author)
Korporativna značnica: SpringerLink (Online service)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Izdaja:1st ed. 2025.
Teme:
Medicine > Research.
Biology > Research.
Python (Computer program language).
Biology > Technique.
Genomics.
Imaging systems in biology.
Biomedical Research.
Python.
Genomic Analysis.
Biological Imaging.
Online dostop:https://doi.org/10.1007/978-3-031-85600-6
Oznake: Označite
Brez oznak, prvi označite!
Kazalo:
  • Chapter 1. Introduction to Python
  • Chapter 2. Python Basics
  • Chapter 3. Working with Biomedical Data – Basic Data Handling
  • Chapter 4. Biomedical Data Preprocessing
  • Chapter 5. Basic Biomedical Data Exploration Techniques
  • Chapter 6. Data Visualization in Biomedicine
  • Chapter 7. Statistical Analysis in Biomedicine
  • Chapter 8. Machine Learning in Biomedicine
  • Chapter 9. Image Processing in Biomedical Research
  • Chapter 10. Genomic Data Analysis
  • Chapter 11. Pharmacokinetics and Pharmacodynamics Analysis
  • Chapter 12. Natural Language Processing (NLP) Basics
  • Chapter 13. Single-cell RNA Sequencing Data Analysis.

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