Change Point Detection: A Powerful Method for Genetic Data Analysis
Produktnummer:
18b45bed2885db48ad94742800fe1f3067
| Autor: | Faris |
|---|---|
| Themengebiete: | Copy Number Variation (CNV) Gene Association Studies Genetic Epidemiology Genetic Variation Genome Segmentation Hidden Markov Models (HMMs) Quantitative Trait Loci (QTL) Single Nucleotide Polymorphism (SNP) Statistical Hypothesis Testing Time Series Analysis |
| Veröffentlichungsdatum: | 08.06.2024 |
| EAN: | 9783384254719 |
| Sprache: | Englisch |
| Seitenzahl: | 74 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | tredition |
Produktinformationen "Change Point Detection: A Powerful Method for Genetic Data Analysis"
The human genome holds a treasure trove of information, but how do we find the hidden patterns within this vast dataset? "Change Point Detection: A Powerful Method for Genetic Data Analysis" unlocks a powerful tool for dissecting genetic data – the method of change point detection. This approach goes beyond simply looking at genes; it identifies critical points where genetic data takes a significant shift. Imagine a long timeline of genetic information. Change point detection acts like a spotlight, illuminating those moments where the data abruptly changes character. This could reveal the transition from a healthy state to a disease state, the activation of specific genes during development, or even the point of a mutation in an individual's DNA. This book delves into the exciting world of change point detection techniques. It explores how these methods can be applied to various types of genetic data, from single nucleotide polymorphisms (SNPs) to gene expression profiles. By uncovering these hidden transitions, researchers can gain a deeper understanding of how genes function, how diseases develop, and ultimately pave the way for the development of personalized medicine. "Change Point Detection" is a valuable resource for geneticists, bioinformaticians, and anyone interested in leveraging the power of data analysis to unlock the secrets hidden within our DNA.
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