Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

Logo Beuth University of Applied Sciences Berlin

Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

Imprint / Contact

Results for Query ‹ Non-distal deletion 10q risk

9q34 deletion syndrome – Epidemiology

2q37 deletion syndrome – Prognosis

3q29 microdeletion syndrome – Research

22q13 deletion syndrome – Epidemiology

9q34 deletion syndrome – Treatment

1q21.1 deletion syndrome – Research

18p- – Current Research

1q21.1 duplication syndrome – Research

1q21.1 deletion syndrome – Abstract

18p- – Support Resources

2q37 monosomy – Origin and Size of Deletion

22q11.2 duplication syndrome – Abstract

1q21.1 duplication syndrome – Abstract

2q37 monosomy – Abstract

Contiguous gene syndrome – Abstract

22q11.2 duplication syndrome – Origin of duplication

Freeman–Sheldon syndrome – Epidemiology

8p23.1 duplication syndrome – Abstract

Proximal 18q- – Current research

DiGeorge syndrome – Epidemiology

13q deletion syndrome – Prognosis

17q21.31 microdeletion syndrome – Abstract

Freeman–Sheldon syndrome – Prognosis

Microdeletion syndrome – Abstract

Wolf–Hirschhorn syndrome – Genetics