Some deep learning genomics projects
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Updated
Jun 22, 2018 - Python
Some deep learning genomics projects
Trait BLUP, a Feature Selection Package for Genomic Prediction
TARI 2020 GS: (1) Conversion of DArTseqLD data and imputation of DArT report DCas20-5629 (with GS C1). (2) Cross-validation and genomic prediction
This project documents informatics and genomic prediction to support the National Root Crop Research Institute 2021 cassava genomic selection breeding program.
Impact of LD regional heterogeneity on genome prediction and heritability estimation in livestock
BAMdelbee is a novel tool for discovering homozygous deletions in Whole-exome-sequencing (WES) and whole-genome-sequencing (WGS) data. WES or WGS samples generated by the same method produce BAM files with similar alignment coverage across the genome. BAMdelbee locates homozygous deletions by pinpointing regions covered in all samples but the on…
An R package for sample size determination for genomic selection
Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice
Genomic prediction of amino acid traits in Arabidopsis seeds
🚴 Kinship Adjusted Multi-Loci Best Linear Unbiased Prediction
Training set determination for genomic selection.
2024 BreedWheat Genomic Selection pipeline
Quantitative and population genetics analyses of populations, pools, half-sib/full-sib families, and polyploids
Role of genomics on regulating rice grain metabolic variability under warmer nights: A statistical and image-based deep learning approach
Gradient Boosting Regression (GBR, https://github.com/scikit-learn/scikit-learn) model for genomic predictions
Code associated with 'Rapid polygenic adaptation in a wild population of ash trees under a novel fungal epidemic'
Can deep learning improve genomic prediction of complex human traits? by Pau Bellot, Gustavo de los Campos, Miguel Pérez-Enciso, Genetics
This is a public repository for relevant code from the publication of the same name.
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