An Arabidopsis expression predictor enables inference of transcriptional regulators for gene modules-Reference-Cited by-同舟云学术

An Arabidopsis expression predictor enables inference of transcriptional regulators for gene modules

Published:2021-06-08 Issue:2 Volume:107 Page:597-612
ISSN:0960-7412
Container-title:The Plant Journal
language:en
Short-container-title:Plant J

Author:

Geng Haiying¹,Wang Meng¹,Gong Jiazhen¹,Xu Yupu¹,Ma Shisong¹²^ORCID

Affiliation:

1. School of Life Sciences and Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Innovation Academy for Seed Design Chinese Academy of Sciences Hefei China

2. School of Data Science University of Science and Technology of China Hefei China

Funder

Fundamental Research Funds for Central Universities of the Central South University

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Plant Science,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.15315

Reference73 articles.

1. MIKC* MADS Domain Heterodimers Are Required for Pollen Maturation and Tube Growth in Arabidopsis

2. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

3. The arabidopsis information resource: Making and mining the “gold standard” annotated reference plant genome

4. Tradict enables accurate prediction of eukaryotic transcriptional states from 100 marker genes

5. Trimmomatic: a flexible trimmer for Illumina sequence data

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