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http://krishi.icar.gov.in/jspui/handle/123456789/5341| Title: | ICAR-IASRI Newsletter, Oct. -Dec., 2016 |
| Other Titles: | Not Available |
| Authors: | Director ICAR-IASRI |
| Published/ Complete Date: | 2017-01-01 |
| Project Code: | Not Available |
| Keywords: | Agricultural Statistics Design of Experiments Sample Surveys Statistical Genetics Forecasting Techniques Bioinformatics Computer Applications |
| Publisher: | ICAR-IASRI, Library Avenue, New Delhi |
| Citation: | Not Available |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Approaches for modeling and construction of Transcription Regulatory Networks, after denoising the raw noisy gene expression data and approaches using vector autoregressive models and sparse autoregressive vector models using wavelet transformed gene expression data for time-series gene expression experiments, have been developed. The developed approaches were applied to salinity and aluminum stresses in rice and soybean respectively. Two R packages namely dhga (https://cran.r-project.org/web/packages/dhga) and waveletGRN have also been developed. ICAR-Data Centre was inaugurated and KVK Mobile App was launched at ICAR-IASRI by Shri Radha Mohan Singh, Union Minister for Agriculture and Farmers Welfare. This digitization process in agriculture will help the farming community by encouraging technology, training and analysis of data by KVK portal and through its mobile app hosted at ICAR Data Centre of the Institute. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | News Letter |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Not Available |
| NAAS Rating: | Not Available |
| Volume No.: | 21(3) |
| Page Number: | 1-18 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | http://iasri.res.in/NewsLetters/year2016/Oct-Dec_2016.pdf |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/5341 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Oct-Dec_2016.pdf | 1.64 MB | Adobe PDF | View/Open |
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