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Zhao et al., 2023 - Google Patents

Integration of eQTL and machine learning to dissect causal genes with pleiotropic effects in genetic regulation networks of seed cotton yield

Zhao et al., 2023

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Document ID
4319905319994714732
Author
Zhao T
Wu H
Wang X
Zhao Y
Wang L
Pan J
Mei H
Han J
Wang S
Lu K
Li M
Gao M
Cao Z
Zhang H
Wan K
Li J
Fang L
Zhang T
Guan X
Publication year
Publication venue
Cell Reports

External Links

Snippet

The dissection of a gene regulatory network (GRN) that complements the genome-wide association study (GWAS) locus and the crosstalk underlying multiple agronomical traits remains a major challenge. In this study, we generate 558 transcriptional profiles of lint …
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    • G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
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