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33 repositories
permGWAS
PublicEfficient Permutation-based GWAS for Normal and Skewed Phenotypic Distributionsgraphxform
Publicstep-and-reconsider
Publicgumbeldore
PublicHeliantHome
PublicStomaDet
Public- Official implementation of the ICLR 2023 paper "Policy-Based Self-Competition for Planning Problems"
ProLaTherm
PublicProtein Language Model-based Protein Thermophilicity Prediction- Current Challenges and Best Practice Protocols for Microbiome Analysis using Amplicon and Metagenomic Sequencing
MFWD
Publicdrl4procsyn
Publiccem
PublicForeTiS
PublicTime Series Forecasting in PythoneasyPheno
PubliceasyPheno: a model agnostic phenotype prediction frameworkForeTiS-HortiCo
PublicDeBlurWeedSeg
PublicImproved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation modelUAVWeedSegmentation
PublicDeep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum FieldsGerminationPrediction
PublicAccurate Machine Learning Based Germination Detection, Prediction and Quality Assessment of Different Seed CultivarsSynGameZero
PublicSynGameZero – Flowsheet Synthesis in a Game environment with Zero Knowledge- Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
phenotype_prediction
PublicA comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species- Systematic analysis of the underlying genomic architecture for transcriptional-translational coupling in prokaryotes
evars-gpr
PublicEVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data- Best practice RNA-Seq analysis pipeline for reference-based RNA-Seq analysis
AraGWAS
PublicThe AraGWAS Catalog - Togninalli*, Seren*, ..., Grimm, 2018, Nucleic Acid Research (https://bit.ly/2DaVj2r)AraPheno
PublicAraPheno: A public database for Arabidopsis thaliana phenotypes. Seren*, Grimm*, et. al. 2017, Nucleic Acid Research (https://bit.ly/2AwpTRF)Lecture_ML4Genomics
PubliceasyGWASCore
PublicComputational Framework for Genome-Wide Association Studies and Meta-Studies in C/C++ with Python Interfaces – Grimm et. al. 2017, Plant Cell (https://bit.ly/2Jqgr5e)- Structural Variant Machine (SV-M) to accurately predict InDels from NGS paired-end short reads – Grimm*, Hagmann*, et. al. 2013, BMC Genomics (https://bit.ly/2EQOu7X)
SConES
PublicA network-guided multi-locus association mapping method (Azencott et al., ISMB/Bioinformatics 2013) http://goo.gl/a8f6az