Machine learning analyses of methylation profiles uncovers tissue‐specific gene expression patterns in wheat-Reference-Cited by-同舟云学术

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Machine learning analyses of methylation profiles uncovers tissue‐specific gene expression patterns in wheat

Published:2020-06-03 Issue:2 Volume:13 Page:
ISSN:1940-3372
Container-title:The Plant Genome
language:en
Short-container-title:Plant Genome

Author:

N'Diaye Amidou¹^ORCID,Byrns Brook¹,Cory Aron T.¹,Nilsen Kirby T.¹,Walkowiak Sean¹,Sharpe Andrew²,Robinson Stephen J.³,Pozniak Curtis J.¹^ORCID

Affiliation:

1. Department of Plant Sciences and Crop Development Centre University of Saskatchewan Saskatoon SK Canada S7N 5A8

2. Global Institute for Food Security Saskatoon SK Canada S7N 0W9

3. Saskatoon Research and Development Centre Agriculture and Agri‐Food Canada Saskatoon SK Canada S7N 0X2

Funder

Genome Canada

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tpg2.20027

Reference150 articles.

1. Polyploidy and genome evolution in plants

2. Machine learning regression techniques for the silage maize yield prediction using time‐series images of Landsat 8 OLI;Aghighi H.;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018

3. Dynamic Changes of Genome-Wide DNA Methylation during Soybean Seed Development

4. Differential expression analysis for sequence count data

5. Shifting the limits in wheat research and breeding using a fully annotated reference genome;Appels R.;Science,2018

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