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Name: Grimm Lab - Bioinformatics and Machine Learning
Type: Organization
Bio: Bioinformatics and Machine Learning Lab @ TUM Campus Straubing and HSWT
Location: Straubing
Blog: http://www.bit.cs.tum.de
Name: Grimm Lab - Bioinformatics and Machine Learning
Type: Organization
Bio: Bioinformatics and Machine Learning Lab @ TUM Campus Straubing and HSWT
Location: Straubing
Blog: http://www.bit.cs.tum.de
The AraGWAS Catalog - Togninalli*, Seren*, ..., Grimm, 2018, Nucleic Acid Research (https://bit.ly/2DaVj2r)
AraPheno: A public database for Arabidopsis thaliana phenotypes. Seren*, Grimm*, et. al. 2017, Nucleic Acid Research (https://bit.ly/2AwpTRF)
Best practice RNA-Seq analysis pipeline for reference-based RNA-Seq analysis
Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components
Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model
Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge
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: a model agnostic phenotype prediction framework
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data
Time Series Forecasting in Python
Genome-wide detection of intervals of genetic heterogeneity (Llinares-Lopez et al., ISMB/Bioinformatics 2015) http://goo.gl/h9gl6K
Accurate Machine Learning Based Germination Detection, Prediction and Quality Assessment of Different Seed Cultivars
Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement"
HeliantHOME: a public and centralized database Home of a comprehensive collection of phenotypes for different Sunflower species
Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
Introduction into machine learning and its applications in genomics and genetics
Code repository for the manuscript "Manually annotated and curated dataset of diverse weed species in maize and sorghum for computer vision"
Current Challenges and Best Practice Protocols for Microbiome Analysis using Amplicon and Metagenomic Sequencing
Multi-task feature selection coupled with multiple network regularizers (Sugiyama et al, SDM 2014) http://goo.gl/4q78Yp
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)
Efficient Permutation-based GWAS for Normal and Skewed Phenotypic Distributions
A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
Official implementation of the ICLR 2023 paper "Policy-Based Self-Competition for Planning Problems"
Protein Language Model-based Protein Thermophilicity Prediction
A network-guided multi-locus association mapping method (Azencott et al., ISMB/Bioinformatics 2013) http://goo.gl/a8f6az
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 – Flowsheet Synthesis in a Game environment with Zero Knowledge
Systematic analysis of the underlying genomic architecture for transcriptional-translational coupling in prokaryotes
Deep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum Fields
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An Open Source Machine Learning Framework for Everyone
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A PHP framework for web artisans
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.