- Title
- TuBA: Tunable biclustering algorithm reveals clinically relevant tumor transcriptional profiles in breast cancer
- Creators
- Amartya Singh - Department of Physics and Astronomy, Rutgers University, 136 Frelinghuysen Rd, Piscataway, NJ 08854, Center for Systems and Computational Biology, Rutgers Cancer Institute, Rutgers University, 195 Little Albany St, New Brunswick, NJ 08903Gyan Bhanot - Department of Physics and Astronomy, Rutgers University, 136 Frelinghuysen Rd, Piscataway, NJ 08854, Center for Systems and Computational Biology, Rutgers Cancer Institute, Rutgers University, 195 Little Albany St, New Brunswick, NJ 08903, Department of Molecular Biology and Biochemistry, Rutgers University, 604 Allison Rd, Piscataway, NJ 08854Hossein Khiabanian - Department of Physics and Astronomy, Rutgers University, 136 Frelinghuysen Rd, Piscataway, NJ 08854, Center for Systems and Computational Biology, Rutgers Cancer Institute, Rutgers University, 195 Little Albany St, New Brunswick, NJ 08903, Department of Molecular Biology and Biochemistry, Rutgers University, 604 Allison Rd, Piscataway, NJ 08854, Department of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, Rutgers University, One Robert Wood Johnson Place, New Brunswick, NJ, 08903
- Publication Details
- Gigascience, Vol.8(6)
- Date published
- 06/01/2019
- Academic Unit
- Molecular Biology and Biochemistry (SAS); Center for Systems and Computational Biology
- Language
- English
- Resource Type
- Journal article
- Identifiers
- 991031666095604646
Journal article
TuBA: Tunable biclustering algorithm reveals clinically relevant tumor transcriptional profiles in breast cancer
Gigascience, Vol.8(6)
06/01/2019
PMCID: PMC6582332
PMID: 31216036
Metrics
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