grimmlab Goto Github PK

aragwas

The AraGWAS Catalog - Togninalli*, Seren*, ..., Grimm, 2018, Nucleic Acid Research (https://bit.ly/2DaVj2r)

arapheno

AraPheno: A public database for Arabidopsis thaliana phenotypes. Seren*, Grimm*, et. al. 2017, Nucleic Acid Research (https://bit.ly/2AwpTRF)

bookchapter-rna-seq-analyses

Best practice RNA-Seq analysis pipeline for reference-based RNA-Seq analysis

cem

Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components

deblurweedseg

Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model

drl4procsyn

Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge

easygwascore

Computational 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)

easypheno

easyPheno: a model agnostic phenotype prediction framework

evars-gpr

EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data

foretis

Time Series Forecasting in Python

foretis-hortico

genetic-heterogeneity-detection-fais

Genome-wide detection of intervals of genetic heterogeneity (Llinares-Lopez et al., ISMB/Bioinformatics 2015) http://goo.gl/h9gl6K

germinationprediction

Accurate Machine Learning Based Germination Detection, Prediction and Quality Assessment of Different Seed Cultivars

gumbeldore

Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement

helianthome

HeliantHOME: a public and centralized database Home of a comprehensive collection of phenotypes for different Sunflower species

horticulturalsalespredictions

Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions

lecture_ml4genomics

Introduction into machine learning and its applications in genomics and genetics

mfwd

Code repository for the manuscript "Manually annotated and curated dataset of diverse weed species in maize and sorghum for computer vision"

microbiomebestpracticereview

Current Challenges and Best Practice Protocols for Microbiome Analysis using Amplicon and Metagenomic Sequencing

multi-scones

Multi-task feature selection coupled with multiple network regularizers (Sugiyama et al, SDM 2014) http://goo.gl/4q78Yp

pathogenicity-prediction

The evaluation of tools used to predict the impact of missense mutations is hindered by two types of circularity – Grimm et. al. 2015, Human Mutation (https://bit.ly/2ERhf4q)

permgwas

Efficient Permutation-based GWAS for Normal and Skewed Phenotypic Distributions

phenotype_prediction

A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species

policy-based-self-competition

Official implementation of the ICLR 2023 paper "Policy-Based Self-Competition for Planning Problems"

prolatherm

Protein Language Model-based Protein Thermophilicity Prediction

scones

A network-guided multi-locus association mapping method (Azencott et al., ISMB/Bioinformatics 2013) http://goo.gl/a8f6az

structural-variant-prediction-sv-m

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)

syngamezero

SynGameZero – Flowsheet Synthesis in a Game environment with Zero Knowledge

transcriptional-translational-coupling

Systematic analysis of the underlying genomic architecture for transcriptional-translational coupling in prokaryotes

uavweedsegmentation

Deep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum Fields