Contig Selection in Physical Mapping. - Steffen Heber; Jens Stoye; Marcus Frohme; Jörg D. Hoheisel; Martin Vingron (J. Comput. Biol., 2000)

Integrated pathway modules using time-course metabolic profiles and EST data from Milnesium tardigradum. - Daniela Beisser; Markus A. Grohme; Joachim Kopka; Marcus Frohme; Ralph O. Schill; Steffen Hengherr; Thomas Dandekar; Gunnar W. Klau; Marcus T. Dittrich; Tobias Müller 001 (BMC Syst. Biol., 2012)

RefPrimeCouch - a reference gene primer CouchApp. - Jascha Silbermann; Catrin Wernicke; Heike Pospisil; Marcus Frohme (Database J. Biol. Databases Curation, 2013)

PlanktoVision - an automated analysis system for the identification of phytoplankton. - Katja Schulze; Ulrich M. Tillich; Thomas Dandekar; Marcus Frohme (BMC Bioinform., 2013)

Standardization and Quality Assurance in Life-Science Research - Crucially Needed or Unnecessary and Annoying Regulation? - Susanne Hollmann; Teresa K. Attwood; Erik Bongcam-Rudloff; Deborah Duca; Domenica D'Elia; Christoph Endrullat; Marcus Frohme; Katrin Messerschmidt; Babette Regierer (ICT Innovations, 2018)

Next Generation Sequence Analysis. - Christian Rockmann; Christoph Endrullat; Marcus Frohme; Heike Pospisil (Encyclopedia of Bioinformatics and Computational Biology (2), 2019)

The need for standardisation in life science research - an approach to excellence and trust. - Susanne Hollmann; Andreas Kremer; Spela Baebler; Christophe Trefois; Kristina Gruden; Witold R. Rudnicki; Weida Tong; Aleksandra Gruca; Erik Bongcam-Rudloff; Chris T. A. Evelo; Alina S. Nechyporenko; Marcus Frohme; et al. (F1000Research, 2020)

Ten simple rules on how to write a standard operating procedure. - Susanne Hollmann; Marcus Frohme; Christoph Endrullat; Andreas Kremer; Domenica D'Elia; Babette Regierer; Alina S. Nechyporenko (PLoS Comput. Biol., 2020)

Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning. - Dmytro Chumachenko; Alina S. Nechyporenko; Marcus Frohme (IDDM, 2022)

Examination of blood samples using deep learning and mobile microscopy. - Juliane Pfeil; Alina S. Nechyporenko; Marcus Frohme; Frank T. Hufert; Katja Schulze (BMC Bioinform., 2022)

Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data. - Dmytro Chumachenko; Mykola Butkevych; Daniel Lode; Marcus Frohme; Kurt J. G. Schmailzl; Alina S. Nechyporenko (Sensors, 2022)

Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning. - Alina S. Nechyporenko; Marcus Frohme; Vladyslav Omelchenko; Victoriia Alekseeva; Andrii Lupyr; Vitaliy Gargin (IDDM, 2023)

Investigation of the Impact of Insulin Resistance on the Bone Density of the Upper Wall of the Maxillary Sinus. - Victoriia Alekseeva; Viktor Reshetnik; Marcus Frohme; Irina Kachailo; Irina Murizyna; Alina S. Nechyporenko (ProfIT AI, 2023)

Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition. - Juliane Pfeil; Julienne Siptroth; Heike Pospisil; Marcus Frohme; Frank T. Hufert; Olga Moskalenko; Murad Yateem; Alina S. Nechyporenko (Big Data Cogn. Comput., 2023)

Detection of Stress Using Photoplethysmography. - Yaroslav Strelchuk; Alina S. Nechyporenko; Marcus Frohme; Vitaliy Gargin; Andrii Lupyr; Victoriia Alekseeva (IDDM, 2024)

Evaluation of Bone Radiodensity in Smokers. - Alina S. Nechyporenko; Viktor Reshetnik; Marcus Frohme; Victoriia Alekseeva; Andrii Lupyr; Vitaliy Gargin (ProfIT AI, 2024)

Uncertainty Estimation Method for Determining Bone Density in Patients with Infiltrating Intraductal Carcinoma Undergoing Anti-Cancer Therapy. - Viktor Reshetnik; Irina Muryzina; Marcus Frohme; Victoriia Alekseeva; Alla Dzyza; Alina S. Nechyporenko (ProfIT AI, 2024)