How Long to Read Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics

How Long Does it Take to Read Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics?

It takes the average reader 3 hours and 13 minutes to read Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics by Benjamin Haibe-Kains

Assuming a reading speed of 250 words per minute. Learn more

Description

Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thoroughly characterize biological systems of interest. High-throughput “omics” technologies enable to generate enormous quantities of data at the DNA, RNA, epigenetic and proteomic levels. One of the major challenges of the post-genomic era is to extract functional information by integrating such heterogeneous high-throughput genomic data. This is not a trivial task as we are increasingly coming to understand that it is not individual genes, but rather biological pathways and networks that drive an organism’s response to environmental factors and the development of its particular phenotype. In order to fully understand the way in which these networks interact (or fail to do so) in specific states (disease for instance), we must learn both, the structure of the underlying networks and the rules that govern their behavior. In recent years there has been an increasing interest in methods that aim to infer biological networks. These methods enable the opportunity for better understanding the interactions between genomic features and the overall structure and behavior of the underlying networks. So far, such network models have been mainly used to identify and validate new interactions between genes of interest. But ultimately, one could use these networks to predict large-scale effects of perturbations, such as treatment by multiple targeted drugs. However, currently, we are still at an early stage of comprehending methods and approaches providing a robust statistical framework to quantitatively assess the quality of network inference and its predictive potential. The scope of this Research Topic in Bioinformatics and Computational Biology aims at addressing these issues by investigating the various, complementary approaches to quantify the quality of network models. These “validation” techniques could focus on assessing quality of specific interactions, global and local structures, and predictive ability of network models. These methods could rely exclusively on in silico evaluation procedures or they could be coupled with novel experimental designs to generate the biological data necessary to properly validate inferred networks.

How long is Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics?

Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics by Benjamin Haibe-Kains is 192 pages long, and a total of 48,384 words.

This makes it 65% the length of the average book. It also has 59% more words than the average book.

How Long Does it Take to Read Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 24 minutes to read Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics aloud.

What Reading Level is Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics?

Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

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