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http://hdl.handle.net/10603/382591
Title: | Study on Mining Micro Array Data for Drug Treatment Using Data Mining Techniques |
Researcher: | Sinha, Megha |
Guide(s): | Sinha,Sitesh Kumar and Singh, Vijay Kumar |
Keywords: | Cancer Data Parameters Computer Science Computer Science Theory and Methods Data Mining Drug Treatment Engineering and Technology Micro Data Array |
University: | Rabindranath Tagore University, Bhopal |
Completed Date: | 2020 |
Abstract: | In this thesis summary, we have discussed various approaches to detect breast cancer, such as- The thesis Study on Mining Microarray Data for Drug Treatment Using Data Mining Techniques will have an in-depth study of the varied data mining techniques. It will show how genetic algorithms can be used to optimize the data mining algorithms. The report at that point gives a prologue to Bioinformatics and molecular biology. Then the study of microarray experiment analysis and the application of clustering techniques will help to mine the microarray data. The report basically underlines the role of clustering analysis to cluster genes into groups of similar character. The microarray experiment produces thousands of samples for each gene, clustering can be effectively used to group these genes into disease causing genes and normal genes and to study the various characteristics of different genes under different conditions. newline newlineFirst the introduction followed by the survey of literature has been given, and then the experimental methods for obtaining the data have been mentioned for each and every step. The main purpose of this work is this can be used for drug treatment considering the response of the genes to drugs, paving the way for diagnosis of incurable diseases like CANCER, AIDS, and Alzheimer s disease. It can likewise be utilized to distinguish the components fundamental natural procedures, for example, development and maturing and to follow the procedure of our advancement. The most of the literatures concentrate on traditional treatment methods with traditional application and concepts using old tools and technologies. newline newlineThe identification, application and future scope of the research are also being listed in a systematic way. newline newline |
Pagination: | x,113.pages |
URI: | http://hdl.handle.net/10603/382591 |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title page.pdf | Attached File | 579.46 kB | Adobe PDF | View/Open |
02_declaration.pdf | 78.83 kB | Adobe PDF | View/Open | |
03_certificate.pdf | 80.43 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 78.96 kB | Adobe PDF | View/Open | |
05_contents.pdf | 77.96 kB | Adobe PDF | View/Open | |
06_list of figure & tables.pdf | 161.52 kB | Adobe PDF | View/Open | |
07_abstract.pdf | 79.42 kB | Adobe PDF | View/Open | |
08_list of abbriviation.pdf | 81.09 kB | Adobe PDF | View/Open | |
09_chapter 01.pdf | 207.68 kB | Adobe PDF | View/Open | |
10_chapter 02.pdf | 181.73 kB | Adobe PDF | View/Open | |
11_chapter 03.pdf | 305.11 kB | Adobe PDF | View/Open | |
12_chapter 04.pdf | 184.35 kB | Adobe PDF | View/Open | |
13_chapter 05.pdf | 277.35 kB | Adobe PDF | View/Open | |
14_chapter 06.pdf | 451.36 kB | Adobe PDF | View/Open | |
15_chapter 07.pdf | 72.68 kB | Adobe PDF | View/Open | |
16_references.pdf | 102.96 kB | Adobe PDF | View/Open | |
17_publication.pdf | 66.4 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 579.46 kB | Adobe PDF | View/Open |
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