Frank Emmert-Streib

ResearcherID Scopus Author ID Loop profile Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Convolutional Neural Network

Machine Learning

Radical Prostatectomy

Top Venues

Scientific reports

European journal of human genetics : EJHG

Wiley interdisciplinary reviews. Data mining and knowledge discovery

NPJ systems biology and applications

This page only lists publications with an associated author ORCID identifier.

Publications

Frank Emmert-Streib
Importance of critical thinking to understand ChatGPT. European journal of human genetics : EJHG (2023)
Frank Emmert-Streib
Can ChatGPT understand genetics? European journal of human genetics : EJHG (2023)
Frank Emmert-Streib
Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery. NPJ systems biology and applications 8 (1) (2022)
Frank Emmert-Streib, Olli Yli-Harja
What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health. International journal of molecular sciences 23 (21) (2022)
Frank Emmert-Streib, Kalifa Manjang, Matthias Dehmer, Olli Yli-Harja, Anssi Auvinen
Are There Limits in Explainability of Prognostic Biomarkers? Scrutinizing Biological Utility of Established Signatures. Cancers 13 (20) (2021)
Zhen Yang, Matthias Dehmer, Olli Yli-Harja, Frank Emmert-Streib
Combining deep learning with token selection for patient phenotyping from electronic health records. Scientific reports 10 (1) (2020)
Frank Emmert-Streib, Salisou Moutari, Matthias Dehmer
A comprehensive survey of error measures for evaluating binary decision making in data science. Wiley interdisciplinary reviews. Data mining and knowledge discovery 9 (5) (2019)
Aliyu Musa, Shailesh Tripathi, Matthias Dehmer, Olli Yli-Harja, Stuart A Kauffman, Frank Emmert-Streib
Systems Pharmacogenomic Landscape of Drug Similarities from LINCS data: Drug Association Networks. Scientific reports 9 (1) (2019)
Johannes Smolander, Alexey Stupnikov, Galina Glazko, Matthias Dehmer, Frank Emmert-Streib
Comparing biological information contained in mRNA and non-coding RNAs for classification of lung cancer patients. BMC cancer 19 (1) (2019)
Aliyu Musa, Shailesh Tripathi, Meenakshisundaram Kandhavelu, Matthias Dehmer, Frank Emmert-Streib
Harnessing the biological complexity of Big Data from LINCS gene expression signatures. PloS one 13 (8) (2018)