Difference between revisions of "genetics"

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== Genetic Application of Deep Learning ==
 
== Genetic Application of Deep Learning ==
 
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Hui Y. Xiong1 ''et al'', The human splicing code reveals new insights into the genetic determinants of disease, Science '''347''', 2015.
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This paper presentation is based on the paper [Hui Y. Xiong1 ''et al'', Science '''347''', 2015] which reveals the importance of deep learning methods in genetic study of disease while using different types of machine-learning approaches would enable us to precise annotation mechanism. These techniques have been done for a wide variety of disease including different cancers which has led to important achievements in mutation-driven splicing. t reach to this goal, various intronic and exonic disease mutations have taken into account to detect the intronic and exonic variants of mutations. This procedure should enable us to prognosis, diagnosis, and/or control many diseases.  
  
  
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<ref>
 
<ref>
Reference
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Hui Y. Xiong1 ''et al'', The human splicing code reveals new insights into the genetic determinants of disease, Science '''347''', 2015.
 
</ref>
 
</ref>
 
[1] Hui Y. Xiong1 ''et al'', The human splicing code reveals new insights into the genetic determinants of disease, Science '''347''', 2015.
 

Revision as of 12:59, 16 November 2015

Genetic Application of Deep Learning

This paper presentation is based on the paper [Hui Y. Xiong1 et al, Science 347, 2015] which reveals the importance of deep learning methods in genetic study of disease while using different types of machine-learning approaches would enable us to precise annotation mechanism. These techniques have been done for a wide variety of disease including different cancers which has led to important achievements in mutation-driven splicing. t reach to this goal, various intronic and exonic disease mutations have taken into account to detect the intronic and exonic variants of mutations. This procedure should enable us to prognosis, diagnosis, and/or control many diseases.



Introduction

[[File:Media:file:///C:/Users/Mahdipour/Desktop/Stat1.jpg]]

Materials and Methods

Example.jpg

Genome-wide Analysis


Spinal Muscular Atropy


Rationale


Conclusion



<ref> Hui Y. Xiong1 et al, The human splicing code reveals new insights into the genetic determinants of disease, Science 347, 2015. </ref>