Abstract
Microarray experiment's data contain errors, from various sources. The process of identifying and adjusting of systematic variation in intensities between samples on the same slide is known as normalization. We implemented a java application with graphical user interface that allows easy evaluation of errors and the role of hybrid normalization methods to remove the systematic errors from the experiment's data. We calculated true hybridization intensity then applied different additive and multiplicative errors and computed the normalized intensity logged ratio using background subtraction, self-normalization method and dye-flip technique. Results show the efficiency of hybrid normalization method in order to remove error rates from the intensity values.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW'07 |
| Pages | 739-744 |
| Number of pages | 6 |
| Volume | 2 |
| DOIs | |
| State | Published - 2007 |
| Externally published | Yes |
| Event | 21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07 - Niagara Falls, ON, Canada Duration: May 21 2007 → May 23 2007 |
Other
| Other | 21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07 |
|---|---|
| Country | Canada |
| City | Niagara Falls, ON |
| Period | 5/21/07 → 5/23/07 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Software
- Mathematics(all)
Cite this
Efficiency of hybrid normalization of microarray gene expression : A simulation study. / Pirooznia, Mehdi; Deng, Youping.
Proceedings - 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW'07. Vol. 2 2007. p. 739-744 4221146.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Efficiency of hybrid normalization of microarray gene expression
T2 - A simulation study
AU - Pirooznia, Mehdi
AU - Deng, Youping
PY - 2007
Y1 - 2007
N2 - Microarray experiment's data contain errors, from various sources. The process of identifying and adjusting of systematic variation in intensities between samples on the same slide is known as normalization. We implemented a java application with graphical user interface that allows easy evaluation of errors and the role of hybrid normalization methods to remove the systematic errors from the experiment's data. We calculated true hybridization intensity then applied different additive and multiplicative errors and computed the normalized intensity logged ratio using background subtraction, self-normalization method and dye-flip technique. Results show the efficiency of hybrid normalization method in order to remove error rates from the intensity values.
AB - Microarray experiment's data contain errors, from various sources. The process of identifying and adjusting of systematic variation in intensities between samples on the same slide is known as normalization. We implemented a java application with graphical user interface that allows easy evaluation of errors and the role of hybrid normalization methods to remove the systematic errors from the experiment's data. We calculated true hybridization intensity then applied different additive and multiplicative errors and computed the normalized intensity logged ratio using background subtraction, self-normalization method and dye-flip technique. Results show the efficiency of hybrid normalization method in order to remove error rates from the intensity values.
UR - http://www.scopus.com/inward/record.url?scp=35248823273&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35248823273&partnerID=8YFLogxK
U2 - 10.1109/AINAW.2007.164
DO - 10.1109/AINAW.2007.164
M3 - Conference contribution
AN - SCOPUS:35248823273
SN - 0769528473
SN - 9780769528472
VL - 2
SP - 739
EP - 744
BT - Proceedings - 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW'07
ER -