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Scopus Author ID: 57202554421

Keywords

Bioinformatics, Machine Learning

Countries

Germany

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Employment (10)

Technische Universität München Fakultät für Informatik: Garching, Bayern, DE

2019-09-01 to present | Affiliated Professor (School of Computation, Information and Technology)
Employment
Source: Self-asserted source
Dominik G. Grimm

Weihenstephan-Triesdorf University of Applied Sciences: Straubing, Bavaria, DE

2018-03-01 to present | Professor for Bioinformatics (TUM Campus Straubing for Biotechnology and Sustainability)
Employment
Source: Self-asserted source
Dominik G. Grimm

Technische Universität München - Campus Straubing für Biotechnologie und Nachhaltigkeit: Straubing, Bayern, DE

2018-03-01 to present | Professor for Bioinformatics
Employment
Source: Self-asserted source
Dominik G. Grimm

Exosome Diagnostics GmbH: Munich, Bavaria, DE

2016-08-01 to 2018-02-28 | Scientist, Bioinformatics
Employment
Source: Self-asserted source
Dominik G. Grimm

Swiss Institute of Bioinformatics: Basel, Basel, CH

2015-12-01 to 2016-07-31 | Postdoctoral Researcher in Bioinformatics and Machine Learning (Machine Learning and Computational Biology Lab)
Employment
Source: Self-asserted source
Dominik G. Grimm

Eidgenössische Technische Hochschule Zürich: Zurich, ZH, CH

2015-01-01 to 2015-12-01 | Research Assistants II in Bioinformatics and Machine Learning (Department of Biosystems Science and Engineering, Machine Learning and Computational Biology Lab)
Employment
Source: Self-asserted source
Dominik G. Grimm

Max-Planck-Campus Tubingen: Tuebingen, Baden-Württemberg, DE

2011-04-01 to 2014-12-31 | Ph.D. Scholar (Machine Learning and Computational Biology Research Group)
Employment
Source: Self-asserted source
Dominik G. Grimm

University of New South Wales: Sydney, NSW, AU

2009-09-01 to 2010-01-31 | Research Internship (Center for Health Informatics)
Employment
Source: Self-asserted source
Dominik G. Grimm

University of Cambridge: Cambridge, Cambridgeshire, GB

2008-03-01 to 2008-09 | Research Internship (FlyMine/InterMine Group)
Employment
Source: Self-asserted source
Dominik G. Grimm

European Bioinformatics Institute: Cambridge, Cambridgeshire, GB

2008-03-01 to 2008-09 | Research Internship (Proteomics Services Group)
Employment
Source: Self-asserted source
Dominik G. Grimm

Education and qualifications (2)

Eberhard Karls Universität Tübingen: Tubingen, Baden-Württemberg, DE

2015 | Dr. rer. nat.
Education
Source: Self-asserted source
Dominik G. Grimm

University of Applied Sciences Weihenstephan/Triesdorf: Freising, Bavaria, DE

2006-10-01 to 2011-03-31 | Dipl. Ing. (FH)
Education
Source: Self-asserted source
Dominik G. Grimm

Funding (1)

Reinforcement Learning for Automated Flowsheet Synthesis of Steady-State Processes

2021-01-01 to present | Grant
Deutsche Forschungsgemeinschaft (Bonn, DE)
URL: https://app.dimensions.ai/details/grant/grant.9882192
GRANT_NUMBER: 466387255
Source: Self-asserted source
Dominik G. Grimm via DimensionsWizard

Works (50 of 77)

Items per page:
Page 1 of 2

Forecasting seasonally fluctuating sales of perishable products in the horticultural industry

Expert Systems with Applications
2024 | Journal article
Contributors: Eiglsperger, Josef; Haselbeck, Florian; Stiele, Viola; Serrano, Claudia Guadarrama; Lim-Trinh, Kelly; Menrad, Klaus; Hannus, Thomas; Grimm, Dominik G
Source: Self-asserted source
Dominik G. Grimm

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

Scientific Data
2024 | Journal article
DOI: 10.1038/s41597-024-02945-6
EID:

2-s2.0-85182825604

Part of ISSN: 20524463
Contributors: Genze, N.; Vahl, W.K.; Groth, J.; Wirth, M.; Grieb, M.; Grimm, D.G.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

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

Transactions on Machine Learning Research (TMLR)
2024 | Journal article
Contributors: Pirnay, Jonathan; Grimm, Dominik G
Source: Self-asserted source
Dominik G. Grimm

The Benefits of Permutation-Based Genome-Wide Association Studies

Journal of Experimental Botany
2024 | Journal article
Contributors: John, Maura; Korte, Arthur; Grimm, Dominik G
Source: Self-asserted source
Dominik G. Grimm

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

Health Care Management Science
2023 | Journal article
DOI: 10.1007/s10729-023-09652-5
EID:

2-s2.0-85177862846

Part of ISSN: 15729389 13869620
Contributors: Schäfer, F.; Walther, M.; Grimm, D.G.; Hübner, A.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

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

arXiv
2023 | Other
EID:

2-s2.0-85165135577

Part of ISSN: 23318422
Contributors: Göttl, Q.; Pirnay, J.; Grimm, D.G.; Burger, J.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

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

Computers and Chemical Engineering
2023 | Journal article
DOI: 10.1016/j.compchemeng.2023.108321
EID:

2-s2.0-85162094960

Part of ISSN: 00981354
Contributors: Göttl, Q.; Pirnay, J.; Grimm, D.G.; Burger, J.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

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

arXiv preprint arXiv:2310.06415
2023 | Journal article
Contributors: Göttl, Quirin; Pirnay, Jonathan; Burger, Jakob; Grimm, Dominik G
Source: Self-asserted source
Dominik G. Grimm

permGWAS2: Enhanced and Accelerated Permutation-based Genome-Wide Association Studies

bioRxiv
2023 | Other
DOI: 10.1101/2023.11.28.569016
EID:

2-s2.0-85180573893

Part of ISSN: 26928205
Contributors: John, M.; Korte, A.; Grimm, D.G.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

Policy-Based Self-Competition for Planning Problems

International Conference on Learning Representations (ICLR)
2023 | Conference paper
Contributors: Pirnay, Jonathan; Göttl, Quirin; Burger, Jakob; Grimm, Dominik Gerhard
Source: Self-asserted source
Dominik G. Grimm

POLICY-BASED SELF-COMPETITION FOR PLANNING PROBLEMS

arXiv
2023 | Other
EID:

2-s2.0-85164696128

Part of ISSN: 23318422
Contributors: Pirnay, J.; Göttl, Q.; Burger, J.; Grimm, D.G.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

Superior protein thermophilicity prediction with protein language model embeddings

NAR Genomics and Bioinformatics
2023 | Journal article
DOI: 10.1093/nargab/lqad087
EID:

2-s2.0-85175471494

Part of ISSN: 26319268
Contributors: Haselbeck, F.; John, M.; Zhang, Y.; Pirnay, J.; Fuenzalida-Werner, J.P.; Costa, R.D.; Grimm, D.G.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

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

Plant methods
2023-08 | Journal article
DOI: 10.1186/s13007-023-01060-8
PMID: 37608384
PMC: PMC10463442
Contributors: Genze N; Wirth M; Schreiner C; Ajekwe R; Grieb M; Grimm DG
Source: Self-asserted source
Dominik G. Grimm via Europe PubMed Central
grade
Preferred source (of 2)‎

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

Bioinformatics advances
2023-03 | Journal article
DOI: 10.1093/bioadv/vbad035
PMID: 37066135
PMC: PMC10101695
Contributors: Haselbeck F; John M; Grimm DG
Source: Self-asserted source
Dominik G. Grimm via Europe PubMed Central
grade
Preferred source (of 2)‎

Predicting Gene Regulatory Interactions Using Natural Genetic Variation.

Methods in molecular biology (Clifton, N.J.)
2023-01 | Journal article
DOI: 10.1007/978-1-0716-3354-0_18
PMID: 37682482
Contributors: John M; Grimm D; Korte A
Source: Self-asserted source
Dominik G. Grimm via Europe PubMed Central
grade
Preferred source (of 2)‎

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

Computational and Structural Biotechnology Journal
2022 | Journal article
DOI: 10.1016/j.csbj.2022.05.049
Part of ISSN: 2001-0370
Contributors: Sara Omranian; Zoran Nikoloski; Dominik G. Grimm
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling

Lecture Notes in Computer Science
2022 | Book chapter | Author
DOI: 10.1007/978-3-031-15791-2_10
Part of ISBN: 9783031157905
Part of ISBN: 9783031157912
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Jan Hüwel; Florian Haselbeck; Dominik G. Grimm; Christian Beecks
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Using Reinforcement Learning in a Game-like Setup for Automated Process Synthesis without Prior Process Knowledge

Computer Aided Chemical Engineering
2022 | Book chapter
DOI: 10.1016/b978-0-323-85159-6.50259-1
Part of ISSN: 1570-7946
Contributors: Quirin Göttl; Dominik G. Grimm; Jakob Burger
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields

Computers and Electronics in Agriculture
2022-11 | Journal article | Author
DOI: 10.1016/j.compag.2022.107388
Part of ISSN: 0168-1699
Contributors: Nikita Genze; Raymond Ajekwe; Zeynep Güreli; Florian Haselbeck; Michael Grieb; Dominik G. Grimm
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

HeliantHOME, a public and centralized database of phenotypic sunflower data

Scientific Data
2022-11-30 | Journal article | Author
DOI: 10.1038/s41597-022-01842-0
Part of ISSN: 2052-4463
Contributors: Natalia Bercovich; Nikita Genze; Marco Todesco; Gregory L. Owens; Jean-Sébastien Légaré; Kaichi Huang; Loren H. Rieseberg; Dominik G. Grimm
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

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

Frontiers in Plant Science
2022-11-04 | Journal article
DOI: 10.3389/fpls.2022.932512
Part of ISSN: 1664-462X
Contributors: Dominik G. Grimm; Maura John; Florian Haselbeck; Rupashree Dass; Christoph Malisi; Patrizia Ricca; Christian Dreischer; Sebastian J. Schultheiss; Dominik G. Grimm
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Rat Hepatic Stellate Cell Line CFSC-2G: Genetic Markers and Short Tandem Repeat Profile Useful for Cell Line Authentication

Cells
2022-09 | Journal article | Author
DOI: 10.3390/cells11182900
Contributors: Indrajit Nanda; Sarah K. Schröder; Claus Steinlein; Thomas Haaf; Eva M. Buhl; Dominik G. Grimm; Ralf Weiskirchen
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

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

Bioinformatics
2022-09-16 | Journal article
DOI: 10.1093/bioinformatics/btac455
Part of ISSN: 1367-4803
Part of ISSN: 1367-4811
Contributors: Maura John; Markus J Ankenbrand; Carolin Artmann; Jan A Freudenthal; Arthur Korte; Dominik G. Grimm
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

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

NAR Genomics and Bioinformatics
2022-07-09 | Journal article | Author
DOI: 10.1093/nargab/lqac074
Part of ISSN: 2631-9268
Contributors: Richa Bharti; Daniel Siebert; Bastian Blombach; Dominik G. Grimm
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Genetic Characterization of Rat Hepatic Stellate Cell Line HSC-T6 for In Vitro Cell Line Authentication

Cells
2022-05 | Journal article | Author
DOI: 10.3390/cells11111783
Contributors: Indrajit Nanda; Claus Steinlein; Thomas Haaf; Eva M. Buhl; Dominik G. Grimm; Scott Friedman; Steffen K. Meurer; Sarah K. Schröder; Ralf Weiskirchen
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

Efficient Permutation-based Genome-wide Association Studies for Normal and Skewed Phenotypic Distributions

2022-04-07 | Preprint
DOI: 10.1101/2022.04.05.487185
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions

Machine Learning with Applications
2022-03 | Journal article
DOI: 10.1016/j.mlwa.2021.100239
Part of ISSN: 2666-8270
Source: Self-asserted source
Dominik G. Grimm

Automated Flowsheet Synthesis Using Hierarchical Reinforcement Learning: Proof of Concept

Chemie-Ingenieur-Technik
2021 | Journal article
DOI: 10.1002/cite.202100086
EID:

2-s2.0-85113388614

Part of ISSN: 15222640 0009286X
Contributors: Göttl, Q.; Tönges, Y.; Grimm, D.G.; Burger, J.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

Automated Process Synthesis Using Reinforcement Learning

31st European Symposium on Computer Aided Process Engineering
2021 | Book chapter
DOI: 10.1016/b978-0-323-88506-5.50034-6
Part of ISBN: 9780323885065
Part of ISSN: 1570-7946
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Automated synthesis of steady-state continuous processes using reinforcement learning

arXiv
2021 | Other
DOI: 10.48550/arxiv.2101.04422
EID:

2-s2.0-85181599925

Part of ISSN: 23318422
Contributors: Göttl, Q.; Grimm, D.G.; Burger, J.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

Automated synthesis of steady-state continuous processes using reinforcement learning

arXiv
2021 | Other
EID:

2-s2.0-85101245865

Part of ISSN: 23318422
Contributors: Göttl, Q.; Grimm, D.G.; Burger, J.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning

arXiv preprint arXiv:2101.04422
2021 | Journal article
Source: Self-asserted source
Dominik G. Grimm

Design and Analysis of RNA Sequencing Data

Next Generation Sequencing and Data Analysis
2021 | Book chapter
DOI: 10.1007/978-3-030-62490-3_11
Part of ISBN: 9783030624897
Part of ISBN: 9783030624903
Part of ISSN: 2509-6125
Part of ISSN: 2509-6133
Source: Self-asserted source
Dominik G. Grimm

EVARS-GPR: EVent-triggered augmented refitting of Gaussian process regression for seasonal data

arXiv
2021 | Other
EID:

2-s2.0-85111211260

Part of ISSN: 23318422
Contributors: Haselbeck, F.; Grimm, D.G.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | Conference paper
DOI: 10.1007/978-3-030-87626-5_11
EID:

2-s2.0-85116884339

ISBN: 9783030876258
Part of ISSN: 16113349 03029743
Contributors: Haselbeck, F.; Grimm, D.G.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

The AIMe registry for artificial intelligence in biomedical research

Nature Methods
2021-08-25 | Journal article
DOI: 10.1038/s41592-021-01241-0
Part of ISSN: 1548-7091
Part of ISSN: 1548-7105
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

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

2021-07-06 | Preprint
ARXIV: arXiv:2107.02463v1
Source: Self-asserted source
Dominik G. Grimm

Automated synthesis of steady-state continuous processes using reinforcement learning

Frontiers of Chemical Science and Engineering
2021-05-19 | Journal article
DOI: 10.1007/s11705-021-2055-9
Part of ISSN: 2095-0179
Part of ISSN: 2095-0187
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Automatisierte Fließbildsynthese durch Reinforcement Learning

Chemie Ingenieur Technik
2020 | Journal article
Source: Self-asserted source
Dominik G. Grimm

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

Plant Methods
2020-12-22 | Journal article
DOI: 10.1186/s13007-020-00699-x
Part of ISSN: 1746-4811
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Network-guided search for genetic heterogeneity between gene pairs

Bioinformatics
2020-06-23 | Journal article
DOI: 10.1093/bioinformatics/btaa581
Part of ISSN: 1367-4803
Part of ISSN: 1460-2059
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Current challenges and best-practice protocols for microbiome analysis

Briefings in Bioinformatics
2019-12-18 | Journal article
DOI: 10.1093/bib/bbz155
Part of ISSN: 1477-4054
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Database
2019-10-29 | Journal article
DOI: 10.1093/database/baz085
Part of ISSN: 1758-0463
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

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

Nucleic Acids Research
2019-10-23 | Journal article
DOI: 10.1093/nar/gkz925
Part of ISSN: 0305-1048
Part of ISSN: 1362-4962
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

GWAS-Flow: A GPU accelerated framework for efficient permutation based genome-wide association studies

BioRxiv
2019-09-27 | Preprint
DOI: 10.1101/783100
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

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

Oncotarget
2019-04-23 | Journal article
DOI: 10.18632/oncotarget.26885
Part of ISSN: 1949-2553
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

Improved EGFR mutation detection using combined exosomal RNA and circulating tumor DNA in NSCLC patient plasma

Annals of Oncology
2018 | Journal article
DOI: 10.1093/annonc/mdx765
EID:

2-s2.0-85056385180

Part of ISSN: 15698041 09237534
Contributors: Krug, A.K.; Enderle, D.; Karlovich, C.; Priewasser, T.; Bentink, S.; Spiel, A.; Brinkmann, K.; Emenegger, J.; Grimm, D.G.; Castellanos-Rizaldos, E. et al.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

Linking Genomic and Metabolomic Natural Variation Uncovers Nematode Pheromone Biosynthesis

Cell Chemical Biology
2018 | Journal article
DOI: 10.1016/j.chembiol.2018.04.004
EID:

2-s2.0-85045886844
Contributors: Falcke, J.M.; Bose, N.; Artyukhin, A.B.; Rödelsperger, C.; Markov, G.V.; Yim, J.J.; Grimm, D.; Claassen, M.H.; Panda, O.; Baccile, J.A. et al.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier

Methods and Tools in Genome-wide Association Studies

Methods in Molecular Biology
2018 | Book chapter
DOI: 10.1007/978-1-4939-8618-7_5
Part of ISBN: 9781493986170
Part of ISBN: 9781493986187
Part of ISSN: 1064-3745
Part of ISSN: 1940-6029
Source: Self-asserted source
Dominik G. Grimm
grade
Preferred source (of 2)‎

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

Nucleic Acids Research
2018 | Journal article
DOI: 10.1093/nar/gkx954
EID:

2-s2.0-85040952073
Contributors: Togninalli, M.; Seren, Ü.; Meng, D.; Fitz, J.; Nordborg, M.; Weigel, D.; Borgwardt, K.; Korte, A.; Grimm, D.G.
Source: Self-asserted source
Dominik G. Grimm via Scopus - Elsevier
Items per page:
Page 1 of 2

Peer review (11 reviews for 7 publications/grants)

Review activity for Biodata mining. (1)
Review activity for Communications biology. (1)
Review activity for Computers and electronics in agriculture. (2)
Review activity for Nature communications (1)
Review activity for Nature computational science. (1)
Review activity for Plant methods. (2)
Review activity for Scientific data. (3)
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