Abstract
We introduce the parameter of relevance of an attribute of a binary table to another attribute of the same table, computed with respect to an implicational basis of a closure system associated with the table. This enables a ranking of all attributes, by relevance parameter to the same fixed attribute, and, as a consequence, reveals the implications of the basis most relevant to this attribute. As an application of this new metric, we test the algorithm for D-basis extraction presented in Adaricheva and Nation [1] on biomedical data related to the survival groups of patients with particular types of cancer. Each test case requires a specialized approach in converting the real-valued data into binary data and careful analysis of the transformed data in a multi-disciplinary environment of cross-field collaboration.
| Original language | English |
|---|---|
| Title of host publication | Formal Concept Analysis - 13th International Conference, ICFCA 2015, Proceedings |
| Publisher | Springer Verlag |
| Pages | 39-57 |
| Number of pages | 19 |
| Volume | 9113 |
| ISBN (Print) | 9783319195445 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | 13th International Conference on Formal Concept Analysis, ICFCA 2015 - Nerja, Spain Duration: Jun 23 2015 → Jun 26 2015 |
Other
| Other | 13th International Conference on Formal Concept Analysis, ICFCA 2015 |
|---|---|
| Country | Spain |
| City | Nerja |
| Period | 6/23/15 → 6/26/15 |
Fingerprint
Keywords
- Binary table
- Blood biochemistry
- D-basis
- Galois lattice
- Gene expression
- Immune markers
- Implicational basis
- Infection
- Relevance
- Response to treatment
- Support
- Survival
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Measuring the implications of the D-basis in analysis of data in biomedical studies. / Adaricheva, Kira; Nation, J. B.; Okimoto, Gordon; Adarichev, Vyacheslav; Amanbekkyzy, Adina; Sarkar, Shuchismita; Sailanbayev, Alibek; Seidalin, Nazar; Alibek, Kenneth.
Formal Concept Analysis - 13th International Conference, ICFCA 2015, Proceedings. Vol. 9113 Springer Verlag, 2015. p. 39-57.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Measuring the implications of the D-basis in analysis of data in biomedical studies
AU - Adaricheva, Kira
AU - Nation, J. B.
AU - Okimoto, Gordon
AU - Adarichev, Vyacheslav
AU - Amanbekkyzy, Adina
AU - Sarkar, Shuchismita
AU - Sailanbayev, Alibek
AU - Seidalin, Nazar
AU - Alibek, Kenneth
PY - 2015
Y1 - 2015
N2 - We introduce the parameter of relevance of an attribute of a binary table to another attribute of the same table, computed with respect to an implicational basis of a closure system associated with the table. This enables a ranking of all attributes, by relevance parameter to the same fixed attribute, and, as a consequence, reveals the implications of the basis most relevant to this attribute. As an application of this new metric, we test the algorithm for D-basis extraction presented in Adaricheva and Nation [1] on biomedical data related to the survival groups of patients with particular types of cancer. Each test case requires a specialized approach in converting the real-valued data into binary data and careful analysis of the transformed data in a multi-disciplinary environment of cross-field collaboration.
AB - We introduce the parameter of relevance of an attribute of a binary table to another attribute of the same table, computed with respect to an implicational basis of a closure system associated with the table. This enables a ranking of all attributes, by relevance parameter to the same fixed attribute, and, as a consequence, reveals the implications of the basis most relevant to this attribute. As an application of this new metric, we test the algorithm for D-basis extraction presented in Adaricheva and Nation [1] on biomedical data related to the survival groups of patients with particular types of cancer. Each test case requires a specialized approach in converting the real-valued data into binary data and careful analysis of the transformed data in a multi-disciplinary environment of cross-field collaboration.
KW - Binary table
KW - Blood biochemistry
KW - D-basis
KW - Galois lattice
KW - Gene expression
KW - Immune markers
KW - Implicational basis
KW - Infection
KW - Relevance
KW - Response to treatment
KW - Support
KW - Survival
UR - http://www.scopus.com/inward/record.url?scp=84958528471&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958528471&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-19545-2_3
DO - 10.1007/978-3-319-19545-2_3
M3 - Conference contribution
SN - 9783319195445
VL - 9113
SP - 39
EP - 57
BT - Formal Concept Analysis - 13th International Conference, ICFCA 2015, Proceedings
PB - Springer Verlag
ER -