an efficient approach in analysis of dna base calling using neural fuzzy model
Clicks: 135
ID: 260149
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
135 views
9 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #184 of 194 articles by views in journal of hepatocellular carcinoma
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 194 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This paper presented the issues of true representation and a reliable measure for analyzing the DNA base calling is provided. The method implemented dealt with the data set quality in analyzing DNA sequencing, it is investigating solution of the problem of using Neurofuzzy techniques for predicting the confidence value for each base in DNA base calling regarding collecting the data for each base in DNA, and the simulation model of designing the ANFIS contains three subsystems and main system; obtain the three features from the subsystems and in the main system and use the three features to predict the confidence value for each base. This is achieving effective results with high performance in employment.
| Reference Key |
hameed2017advancesan
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Safa A. Hameed;Raed I. Hamed |
| Journal | journal of hepatocellular carcinoma |
| Year | 2017 |
| DOI |
10.1155/2017/3686025
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.