Optimising the use of gene expression data to predict plant metabolic pathway memberships-Reference-Cited by-同舟云学术

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Optimising the use of gene expression data to predict plant metabolic pathway memberships

Published:2021-05 Issue:1 Volume:231 Page:475-489
ISSN:0028-646X
Container-title:New Phytologist
language:en
Short-container-title:New Phytol

Author:

Wang Peipei¹^ORCID,Moore Bethany M.²^ORCID,Uygun Sahra³^ORCID,Lehti‐Shiu Melissa D.¹^ORCID,Barry Cornelius S.⁴^ORCID,Shiu Shin‐Han¹⁵^ORCID

Affiliation:

1. Department of Plant Biology Michigan State University East Lansing MI48824USA

2. Department of Botany University of Wisconsin‐Madison Madison WI53706USA

3. Agendia Inc., Irvine CA92618USA

4. Department of Horticulture Michigan State University East Lansing MI48824USA

5. Department of Computational Mathematics, Science, and Engineering Michigan State University East Lansing MI48824USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Plant Science,Physiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/nph.17355

Reference60 articles.

1. HTSeq--a Python framework to work with high-throughput sequencing data

2. ALCOdb: Gene Coexpression Database for Microalgae

3. Opening the Black Box: Interpretable Machine Learning for Geneticists

4. Convergent Loss of an EDS1/PAD4 Signaling Pathway in Several Plant Lineages Reveals Coevolved Components of Plant Immunity and Drought Response

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1. Beyond co-expression: pathway discovery for plant pharmaceuticals;Current Opinion in Biotechnology;2024-08

2. Genome-scale identification, expression and evolution analysis of B-box members in Dendrobium huoshanense;Heliyon;2024-06

3. Machine learning assists prediction of genes responsible for plant specialized metabolite biosynthesis by integrating multi-omics data;BMC Genomics;2024-04-29

4. Computational prediction of plant metabolic pathways;Current Opinion in Plant Biology;2022-04

5. Fruity, sticky, stinky, spicy, bitter, addictive, and deadly: evolutionary signatures of metabolic complexity in the Solanaceae;Natural Product Reports;2022

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