[HTML][HTML] Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms

A Haleem, S Klees, AO Schmitt, M Gültas - International Journal of …, 2022 - mdpi.com
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms

A Haleem, S Klees, AO Schmitt… - International Journal of …, 2022 - search.proquest.com
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

[HTML][HTML] Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms

A Haleem, S Klees, AO Schmitt… - International Journal of …, 2022 - ncbi.nlm.nih.gov
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms.

A Haleem, S Klees, AO Schmitt… - International Journal of …, 2022 - search.ebscohost.com
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

[PDF][PDF] Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms

A Haleem, S Klees, AO Schmitt, M Gültas - Int. J. Mol. Sci, 2022 - researchgate.net
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms

A Haleem, S Klees, AO Schmitt, M Gültas - 2022 - agris.fao.org
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms

A Haleem, S Klees, AO Schmitt, M Gültas - 2022 - publications.goettingen-research …
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

Deciphering pleiotropic signatures of regulatory SNPs in Zea mays L. using multi-omics data and machine learning algorithms.

A Haleem, S Klees, AO Schmitt, M Gültas - 2022 - cabidigitallibrary.org
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms

A Haleem, S Klees, AO Schmitt… - International journal of …, 2022 - pubmed.ncbi.nlm.nih.gov
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms.

A Haleem, S Klees, AO Schmitt… - International Journal of …, 2022 - europepmc.org
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …