New Results
Deep Learning and Association Rule Mining for Predicting Drug Response in Cancer
View ORCID ProfileKonstantinos Vougas, Thomas Jackson, Alexander Polyzos, Michael Liontos, Elizabeth O. Johnson, Vassilis Georgoulias, Paul Townsend, Jiri Bartek, Vassilis G. Gorgoulis
doi: https://doi.org/10.1101/070490
Konstantinos Vougas
1Biomedical Research Foundation of the Academy of Athens, 4 Soranou Ephessiou St., Athens, GR-11527, Greece
Thomas Jackson
2Faculty Institute of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Wilmslow Road, Manchester, M20 4QL, UK
Alexander Polyzos
1Biomedical Research Foundation of the Academy of Athens, 4 Soranou Ephessiou St., Athens, GR-11527, Greece
Michael Liontos
3Molecular Carcinogenesis Group, Department of Histology and Embryology, School of Medicine, National & Kapodistrian University of Athens, 75 Mikras Asias Str, Athens, GR-11527, Greece
4Oncology Unit, Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
Elizabeth O. Johnson
5Laboratory for Education & Research in Neurosciences (LERNs), Department of Anatomy, School of Medicine, National & Kapodistrian University of Athens, 75 Mikras Asias Str, Athens, 11527, Greece
Vassilis Georgoulias
6Laboratory of Tumor Cell Biology, School of Medicine, University of Crete, Heraklion, Crete, Greece
3Molecular Carcinogenesis Group, Department of Histology and Embryology, School of Medicine, National & Kapodistrian University of Athens, 75 Mikras Asias Str, Athens, GR-11527, Greece
Paul Townsend
2Faculty Institute of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Wilmslow Road, Manchester, M20 4QL, UK
Jiri Bartek
7Genome Integrity Unit, Danish Cancer Society Research Centre, Strandboulevarden 49, Copenhagen DK-2100, Denmark
8Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Hn ěvotínská, Olomouc 1333/5 779 00, Czech Republic
9Science for Life Laboratory, Division of Translational Medicine and Chemical Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm SE-171 77, Sweden
Vassilis G. Gorgoulis
3Molecular Carcinogenesis Group, Department of Histology and Embryology, School of Medicine, National & Kapodistrian University of Athens, 75 Mikras Asias Str, Athens, GR-11527, Greece
2Faculty Institute of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Wilmslow Road, Manchester, M20 4QL, UK
1Biomedical Research Foundation of the Academy of Athens, 4 Soranou Ephessiou St., Athens, GR-11527, Greece
Article usage
Posted August 19, 2016.
Deep Learning and Association Rule Mining for Predicting Drug Response in Cancer
Konstantinos Vougas, Thomas Jackson, Alexander Polyzos, Michael Liontos, Elizabeth O. Johnson, Vassilis Georgoulias, Paul Townsend, Jiri Bartek, Vassilis G. Gorgoulis
bioRxiv 070490; doi: https://doi.org/10.1101/070490
Subject Area
Subject Areas
- Biochemistry (11752)
- Bioengineering (8752)
- Bioinformatics (29200)
- Biophysics (14974)
- Cancer Biology (12096)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18308)
- Genetics (12245)
- Genomics (16803)
- Immunology (11869)
- Microbiology (28097)
- Molecular Biology (11594)
- Neuroscience (60969)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)