How Long to Read Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling

How Long Does it Take to Read Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling?

It takes the average reader 1 hour and 21 minutes to read Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling by Zhen Gao

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

Description

The advance of experimental technologies in biology, including complete genome sequencing and high density microarray, has enabled biologists to collect molecular biology data at an unprecedented pace and scale. However, due to the diverse types and enormous amount of data from these high-throughput experiments, more sophisticated computational methods are urgently needed to analyze them in order to reveal useful biological insight. In this dissertation work, we identified several critical challenges in modeling gene transcriptional regulatory networks, and developed machine learning based algorithms to address these challenges. First, we proposed a genome-wide cis-regulatory motif discovery approach by combining promoter sequences and gene co-expression networks to predict the cis-regulatory motif of each individual gene, thereby overcoming the disadvantages of current clustering based methods that often fail to provide gene- specific or species-specific predictions. Second, we developed a multi-instance-learning based method to model the physical interactions between transcription factors (TF) and DNA, which, by better handling of DNA sequence regional information, significantly outperformed traditional single-instance-learning based methods in predicting both in vivo and in vitro TF-DNA interactions. Finally, we proposed a novel TF-DNA interaction model by utilizing structural features with multi-instance learning, which further improved the accuracy of modeling in vitro TF-DNA interactions. This research clearly demonstrated the advantage of machine learning methods in modeling transcriptional regulatory networks, and revealed several promising new directions for future development of computational methods in this area.

How long is Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling?

Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling by Zhen Gao is 79 pages long, and a total of 20,461 words.

This makes it 27% the length of the average book. It also has 25% more words than the average book.

How Long Does it Take to Read Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling Aloud?

The average oral reading speed is 183 words per minute. This means it takes 1 hour and 51 minutes to read Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling aloud.

What Reading Level is Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling?

Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling 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.

Where Can I Buy Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling?

Machine Learning Approaches for Genome-wide Cis-regulatory Element Discovery and Transcription Factor Binding Sites Modeling by Zhen Gao is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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