Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Islam, A. Iftekharuddin, K.M. George, E.O. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Memphis Univ., Memphis, TN (Islam, A.) |
| Abstract | Tumors of central nervous system (CNS) represent a unique challenge in diagnosis and treatment because of their heterogeneous phenotypic and genotypic behavior. Unambiguous characterization of these tumors is essential towards accurate prognosis and therapy. Rapid advancements in microarray technologies have made it very promising to achieve this unambiguous characterization. However, because of the noisy nature of measured gene expression levels from microarray chips, careful preprocessing of gene expression data are necessary before statistical analysis can proceed.. In this paper, we propose a procedure for classifying central nervous system (CNS) tumors based on DNA microarray gene expressions of samples from patients with a variety of CNS tumor types. , After obtaining the tumor specific gene expression estimates, significantly expressed (marker) genes are located and clustered using a complete linkage hierarchical algorithm. The algorithm involves clustering together all genes that show high correlation in their expression measures across the samples.. From such gene-cluster, eigengene expressions are obtained by projecting the genes expressions within same cluster onto their first three principal components. In the final step of building prototype for any particular tumor type, the corresponding tissue samples with eigengene expressions are divided into subgroups using self-organizing map (SOM). The centroid of the with eigengenes expression is used as the prototype of the corresponding tumor type for each subgroup. In predicting the tumor type of a new tissue sample, distances are calculated between the new sample and all the centroid of all the tumor prototypes. The new tissue sample is classified to the tumor type of the nearest centroid. Experimental results reported in this paper strongly support the histological categorization of the tumors and the current knowledge of their molecular definitions. |
| Starting Page | 846 |
| Ending Page | 850 |
| File Size | 5479352 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424407842 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.2006.354869 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Gene expression Neoplasms Prototypes Tumors Central nervous system Clustering algorithms Medical treatment Noise level Semiconductor device measurement Statistical analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|