Frank Emmert-Streib
About me
The Predictive Society and Data Analytics Lab pursues research in data
science. Data science comprises all methods from machine learning, artificial intelligence and statistics but places data in the center of focus. We are particularly interested in developing and applying high-dimensional methods that can be used for the interrogation of genomics and text data. Frequently, we are combining such methods with network science to obtain holistic interpretations of the underlying problem.
For more information please visit: www.bio-complexity.com
Latest publications
Aspects on the optimal decoupling point setting problem
Jodlbauer, H., Dehmer, M. & Emmert-Streib, F., Jul 2025, In: Applied Mathematics and Computation. 496, 129343.Research output: Contribution to journal › Article › Scientific › peer-review
Deep mining the textual gold in relation extraction: Deep mining the textual gold in relation extraction: T. Sharma, F. Emmert-Streib
Sharma, T. & Emmert-Streib, F., Jan 2025, In: Artificial Intelligence Review. 58, 1, 34.Research output: Contribution to journal › Article › Scientific › peer-review
Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia
Zhang, Y., Martinez, J., Tercan, B., Kuusanmäki, H., Emmert-Streib, F., Chandraseelan, J. G., Farea, A., Yli-Harja, O., Heckman, C. A., Gibbs, D. L., Thorsson, V., Shmulevich, I., Kontro, M., Qin, G. & Aguilar, B., 2025, In: Npj digital medicine. 8, 11 p., 596.Research output: Contribution to journal › Article › Scientific › peer-review
Understanding question-answering systems: Evolution, applications, trends, and challenges
Farea, A. & Emmert-Streib, F., 15 Sept 2025, In: Engineering Applications of Artificial Intelligence. 156, Part A, 110997.Research output: Contribution to journal › Article › Scientific › peer-review
Using Physics-Informed Neural Networks for Modeling Biological and Epidemiological Dynamical Systems
Farea, A., Yli-Harja, O. & Emmert-Streib, F., May 2025, In: Mathematics. 13, 10, 1664.Research output: Contribution to journal › Article › Scientific › peer-review
Advanced Scientometric Analysis of Scientific Machine Learning and PINNs: Topic Modeling and Trend Analysis
Emmert-Streib, F., Tripathi, S., Farea, A. & Yli-Harja, O., 2024, In: IEEE Access. 12, p. 153253-153272 20 p.Research output: Contribution to journal › Article › Scientific › peer-review
Can ChatGPT understand genetics?
Emmert-Streib, F., Apr 2024, In: EUROPEAN JOURNAL OF HUMAN GENETICS. 32, 4, p. 371-372Research output: Contribution to journal › Comment/debate › Scientific
Community detection in directed networks based on network embeddings
Yu, G., Jiao, Y., Dehmer, M. & Emmert-Streib, F., Dec 2024, In: Chaos, Solitons and Fractals. 189, 115630.Research output: Contribution to journal › Article › Scientific › peer-review
Complexity data science: A spin-off from digital twins
Emmert-Streib, F., Cherifi, H., Kaski, K., Kauffman, S. & Yli-Harja, O., Nov 2024, In: PNAS Nexus. 3, 11, 7 p., pgae456.Research output: Contribution to journal › Article › Scientific › peer-review
Editorial: AI and multi-omics for rare diseases: challenges, advances and perspectives, Volume III
Emmert-Streib, F., Bottini, S. & Franco, L., 2024, In: Frontiers in Molecular Biosciences. 11, 1392943.Research output: Contribution to journal › Editorial › Scientific