Call for Papers:Vol.8 Issue.4

Submission
Last date		 31-Aug-2022
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-8,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Classification of Gene Expression Data by Gene Combination using Fuzzy Logic
PaperId: :  1137
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 1 Issue 2 2015
DUI:    16.0415/IJARIIE-1137
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Daxa GhadiyaCGPIT,BARDOLI
Prof. Ankit Kharwar CGPIT,BARDOLI
Prof. Monali GandhiCGPIT,BARDOLI

Abstract

Data mining
Feature selection, classification, clustering, T-test, Cancer classification, gene expression, fuzzy, neural networks, supports vector machines
The goal of microarray experiments is to identify genes that are differentially transcribed with respect to different biological conditions of cell cultures and samples. Among the large amount of genes presented in gene expression data, only a small fraction of them is effective for performing a certain diagnostic test. Hence, one of the major tasks with the gene expression data is to find groups of co regulated genes whose collective expression is strongly associated with the sample categories or response variables. A framework is improved/ modified in this report to find informative gene combinations and to classify gene combinations belonging to its relevant subtype by using fuzzy logic. The genes are ranked based on their statistical scores and highly informative genes mare filtered. Such genes are fuzzified to identify 2-gene and 3-gene combinations and the intermediate value for each gene is calculated to select top gene combinations to further classify gene lymphoma subtypes by using fuzzy rules. Finally the accuracy of top gene combinations is compared with clustering results. The classification is done using the gene combinations and it is analyzed to predict the accuracy of the results. The work is implemented using java language.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Daxa Ghadiya, Prof. Ankit Kharwar , and Prof. Monali Gandhi. "Classification of Gene Expression Data by Gene Combination using Fuzzy Logic" International Journal Of Advance Research And Innovative Ideas In Education Volume 1 Issue 2 2015 Page 43-48
MLA Daxa Ghadiya, Prof. Ankit Kharwar , and Prof. Monali Gandhi. "Classification of Gene Expression Data by Gene Combination using Fuzzy Logic." International Journal Of Advance Research And Innovative Ideas In Education 1.2(2015) : 43-48.
APA Daxa Ghadiya, Prof. Ankit Kharwar , & Prof. Monali Gandhi. (2015). Classification of Gene Expression Data by Gene Combination using Fuzzy Logic. International Journal Of Advance Research And Innovative Ideas In Education, 1(2), 43-48.
Chicago Daxa Ghadiya, Prof. Ankit Kharwar , and Prof. Monali Gandhi. "Classification of Gene Expression Data by Gene Combination using Fuzzy Logic." International Journal Of Advance Research And Innovative Ideas In Education 1, no. 2 (2015) : 43-48.
Oxford Daxa Ghadiya, Prof. Ankit Kharwar , and Prof. Monali Gandhi. 'Classification of Gene Expression Data by Gene Combination using Fuzzy Logic', International Journal Of Advance Research And Innovative Ideas In Education, vol. 1, no. 2, 2015, p. 43-48. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Classification_of_Gene_Expression_Data_by_Gene_Combination_using_Fuzzy_Logic_IJARIIE1137_volume_1_11_page_43_48.pdf (Accessed : ).
Harvard Daxa Ghadiya, Prof. Ankit Kharwar , and Prof. Monali Gandhi. (2015) 'Classification of Gene Expression Data by Gene Combination using Fuzzy Logic', International Journal Of Advance Research And Innovative Ideas In Education, 1(2), pp. 43-48IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Classification_of_Gene_Expression_Data_by_Gene_Combination_using_Fuzzy_Logic_IJARIIE1137_volume_1_11_page_43_48.pdf (Accessed : )
IEEE Daxa Ghadiya, Prof. Ankit Kharwar , and Prof. Monali Gandhi, "Classification of Gene Expression Data by Gene Combination using Fuzzy Logic," International Journal Of Advance Research And Innovative Ideas In Education, vol. 1, no. 2, pp. 43-48, May-Jun 2015. [Online]. Available: http://ijariie.com/AdminUploadPdf/Classification_of_Gene_Expression_Data_by_Gene_Combination_using_Fuzzy_Logic_IJARIIE1137_volume_1_11_page_43_48.pdf [Accessed : ].
Turabian Daxa Ghadiya, Prof. Ankit Kharwar , and Prof. Monali Gandhi. "Classification of Gene Expression Data by Gene Combination using Fuzzy Logic." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 1 number 2 ().
Vancouver Daxa Ghadiya, Prof. Ankit Kharwar , and Prof. Monali Gandhi. Classification of Gene Expression Data by Gene Combination using Fuzzy Logic. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2015 [Cited : ]; 1(2) : 43-48. Available from: http://ijariie.com/AdminUploadPdf/Classification_of_Gene_Expression_Data_by_Gene_Combination_using_Fuzzy_Logic_IJARIIE1137_volume_1_11_page_43_48.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DETECTION AND EXTRACTION OF SEA MINES USING CNNInformation Science and EngineeringSheethal S Download
Transformer architecture for image capturing using deep learning approachComputer EngineeringAJITH P J Download
SURFACE DEFECT DETECTION SYSTEM WITH MACHINE LEARNINGInformation Science EngineeringSIRITH N Download
Intelligent E-Business to Increase Online Sales Using Web MiningComputer Science and EngineeringSachin Balvir Download
A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTSInformation Science and EngineeringAbhishek R Dalawai Download
TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMINGComputer EngineeringJERIN JACOB Download
Literature survey of Blockexchangecomputer science EngineeringSHAHANAS M S Download
QUANTITATIVE EVALUATION OF AN AUTOMATED CONE-BASED BREAST ULTRASOUND SCANNER FOR MRI 3D US IMAGE FUSIONComputer EngineeringLidhi P Download
Prevention of Wormhole Attack in WSN using Energy Optimized Scheme based on HopComputer EngineeringYogesh Hassani Download
DIFFERENT TECHNIQUES USED FOR CREDIT CARD FRAUD DETECTION – A LITERATURE SURVEYComputer EngineeringBushara Hamza Download
An Early Prediction and Detection of Alzheimer’s Disease - Literature surveyComputer EngineeringJenny Thomas Download
Energy Management SystemComputer Science and EngineeringSnehal P. Patil Download
Literature Survey:weather prediction and climate analysis using machine learningComputer EngineeringCHRISTINA MARY JOLLY Download
A Method For Predict Chronic Kidney Prediction-Literature SurveyComputer Science & EngineeringAnn Mariya George Download
A Review on Study & Analysis of WSN, Attacks & its ApplicationsComputer EngineeringYogesh Hassani Download
12