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The rate and potential relevance of new mutations in a colonizing plant lineage

PLoS genetics, 2018-02, Vol.14 (2), p.e1007155-e1007155

2018

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The Evaluation of Tools Used to Predict the Impact of Missense Variants Is Hindered by Two Types of Circularity

Human mutation, 2015-05, Vol.36 (5), p.513-523

2015

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Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops

Plant methods, 2020-12, Vol.16 (1), p.157-157, Article 157

2020

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AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana

Nucleic acids research, 2020-01, Vol.48 (D1), p.D1063

2020

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The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog

Nucleic acids research, 2018-01, Vol.46 (D1), p.D1150-D1156

2018

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

Plant methods, 2023-08, Vol.19 (1), p.1-87, Article 87

2023

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easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies

The Plant cell, 2017-01, Vol.29 (1), p.5-19

2017

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Computational identification of protein complexes from network interactions: Present state, challenges, and the way forward

Computational and structural biotechnology journal, 2022-01, Vol.20, p.2699-2712

2022

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

Frontiers in plant science, 2022-11, Vol.13, p.932512-932512

2022

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Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision

Scientific data, 2024-01, Vol.11 (1), p.109-109, Article 109

2024

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The benefits of permutation-based genome-wide association studies

Journal of experimental botany, 2024-09, Vol.75 (17), p.5377-5389

2024

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Superior protein thermophilicity prediction with protein language model embeddings

NAR genomics and bioinformatics, 2023-10, Vol.5 (4)

2023

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HeliantHOME, a public and centralized database of phenotypic sunflower data

Scientific data, 2022-11, Vol.9 (1), p.735-9, Article 735

2022

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Exosome-Based Detection of EGFR T790M in Plasma from Non-Small Cell Lung Cancer Patients

Clinical cancer research, 2018-06, Vol.24 (12), p.2944-2950

2018

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Network-guided search for genetic heterogeneity between gene pairs

Bioinformatics (Oxford, England), 2021-04, Vol.37 (1), p.57-65

2021

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Guiding questions to avoid data leakage in biological machine learning applications

Nature methods, 2024-08, Vol.21 (8), p.1444-1453

2024

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Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions

Bioinformatics, 2022-09, Vol.38 (Supplement_2), p.ii5-ii12

2022

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Automated synthesis of steady-state continuous processes using reinforcement learning

Frontiers of Chemical Science and Engineering, 2022-02, Vol.16 (2), p.288-302

2022

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Combining machine learning and optimization for the operational patient-bed assignment problem

Health care management science, 2023-12, Vol.26 (4), p.785-806

2023

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easyPheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization

Bioinformatics advances, 2023, Vol.3 (1), p.vbad035-vbad035

2023

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The AIMe registry for artificial intelligence in biomedical research

Nature methods, 2021-10, Vol.18 (10), p.1128-1131

2021

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Exosome-based detection of activating and resistance EGFR mutations from plasma of non-small cell lung cancer patients

Oncotarget, 2019-04, Vol.10 (30), p.2911-2920

2019

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Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids

Proceedings of the National Academy of Sciences - PNAS, 2016-11, Vol.113 (46), p.E7317-E7326

2016

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ForeTiS: A comprehensive time series forecasting framework in Python

Machine learning with applications, 2023-06, Vol.12, p.100467, Article 100467

2023

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Methods and Tools in Genome-wide Association Studies

Methods in molecular biology (Clifton, N.J.), 2018, Vol.1819, p.93

2018

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The rate and potential relevance of new mutations in a colonizing plant lineage

The Evaluation of Tools Used to Predict the Impact of Missense Variants Is Hindered by Two Types of Circularity

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops

AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana

The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog

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

easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies

Computational identification of protein complexes from network interactions: Present state, challenges, and the way forward

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

Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision

The benefits of permutation-based genome-wide association studies

Superior protein thermophilicity prediction with protein language model embeddings

HeliantHOME, a public and centralized database of phenotypic sunflower data

Exosome-Based Detection of EGFR T790M in Plasma from Non-Small Cell Lung Cancer Patients

Network-guided search for genetic heterogeneity between gene pairs

Guiding questions to avoid data leakage in biological machine learning applications

Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions

Automated synthesis of steady-state continuous processes using reinforcement learning

Combining machine learning and optimization for the operational patient-bed assignment problem

easyPheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization

The AIMe registry for artificial intelligence in biomedical research

Exosome-based detection of activating and resistance EGFR mutations from plasma of non-small cell lung cancer patients

Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids

ForeTiS: A comprehensive time series forecasting framework in Python

Methods and Tools in Genome-wide Association Studies

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