Review of causal discovery methods based on graphical models

C Glymour, K Zhang, P Spirtes - Frontiers in genetics, 2019 - frontiersin.org
A fundamental task in various disciplines of science, including biology, is to find underlying
causal relations and make use of them. Causal relations can be seen if interventions are …

Machine learning bridges omics sciences and plant breeding

J Yan, X Wang - Trends in Plant Science, 2023 - cell.com
Some of the biological knowledge obtained from fundamental research will be implemented
in applied plant breeding. To bridge basic research and breeding practice, machine learning …

Disentangling direct from indirect relationships in association networks

N Xiao, A Zhou, ML Kempher… - Proceedings of the …, 2022 - National Acad Sciences
Networks are vital tools for understanding and modeling interactions in complex systems in
science and engineering, and direct and indirect interactions are pervasive in all types of …

Gene regulatory network inference resources: A practical overview

D Mercatelli, L Scalambra, L Triboli, F Ray… - Biochimica et Biophysica …, 2020 - Elsevier
Transcriptional regulation is a fundamental molecular mechanism involved in almost every
aspect of life, from homeostasis to development, from metabolism to behavior, from reaction …

Network‐based approaches for understanding gene regulation and function in plants

DK Ko, F Brandizzi - The Plant Journal, 2020 - Wiley Online Library
Expression reprogramming directed by transcription factors is a primary gene regulation
underlying most aspects of the biology of any organism. Our views of how gene regulation is …

ConnecTF: A platform to integrate transcription factor–gene interactions and validate regulatory networks

MD Brooks, CL Juang, MS Katari, JM Alvarez… - Plant …, 2021 - academic.oup.com
Deciphering gene regulatory networks (GRNs) is both a promise and challenge of systems
biology. The promise lies in identifying key transcription factors (TFs) that enable an …

Computational prediction of gene regulatory networks in plant growth and development

S Haque, JS Ahmad, NM Clark, CM Williams… - Current opinion in plant …, 2019 - Elsevier
Highlights•GRNs represent causal relationships among regulators and their downstream
genes.•Biological hypothesis drives data collection and the subsequent inferred …

[HTML][HTML] AI and precision oncology in clinical cancer genomics: From prevention to targeted cancer therapies-an outcomes based patient care

Z Dlamini, A Skepu, N Kim, M Mkhabele… - Informatics in Medicine …, 2022 - Elsevier
Precision medicine is the personalization of medicine to suit a specific group of people or
even an individual patient, based on genetic or molecular profiling. This can be done using …

A review of artificial intelligence-assisted omics techniques in plant defense: current trends and future directions

S Murmu, D Sinha, H Chaurasia, S Sharma… - Frontiers in Plant …, 2024 - frontiersin.org
Plants intricately deploy defense systems to counter diverse biotic and abiotic stresses.
Omics technologies, spanning genomics, transcriptomics, proteomics, and metabolomics …

MINI‐AC: inference of plant gene regulatory networks using bulk or single‐cell accessible chromatin profiles

N Manosalva Pérez, C Ferrari, J Engelhorn… - The Plant …, 2024 - Wiley Online Library
Gene regulatory networks (GRNs) represent the interactions between transcription factors
(TF) and their target genes. Plant GRNs control transcriptional programs involved in growth …