Network community cluster-based analysis for the identification of potential leukemia drug targets
Visualitza/Obre
10.1007/978-3-030-19642-4_31
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/179541
Tipus de documentComunicació de congrés
Data publicació2019
EditorSpringer
Condicions d'accésAccés obert
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Abstract
Leukemia is a hematologic cancer which develops in blood tissue and causes rapid generation of immature and abnormal-shaped white blood cells. It is one of the most prominent causes of death in both men and women for which there is currently not an effective treatment. For this reason, several therapeutical strategies to determine potentially relevant genetic factors are currently under development, as targeted therapies promise to be both more effective and less toxic than current chemotherapy. In this paper, we present a network community cluster-based analysis for the identification of potential gene drug targets for acute lymphoblastic leukemia and acute myeloid leukemia.
CitacióRodríguez-Bazaga, A.; Vellido, A. Network community cluster-based analysis for the identification of potential leukemia drug targets. A: International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization. "Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: proceedings of the 13th International Workshop, WSOM+ 2019: Barcelona, Spain, June 26-28, 2019". Berlín: Springer, 2019, p. 314-323.
ISBN978-3-030-19641-7
Versió de l'editorhttps://link.springer.com/chapter/10.1007/978-3-030-19642-4_31
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WSOM19_Paper_CamReady.pdf | 626,9Kb | Visualitza/Obre |