Oct 5, 2017 · Extracting patterns and predicting future mutations and their impact will rely heavily on the efficient use of Big Data. Often a mutation on its ...

Visualizing Genetic Mutations. Occurrence using Big Data. Silvana Albert. Prof. Dr. Gabriela Czibula. Babes-Bolyai University, Cluj Napoca, Romania. Contact ...

Visualizing mutation occurrence using Big Data · S. Albert · Published in PeerJ Preprints 5 October 2017 · Biology, Computer Science.

Extracting patterns and predicting future mutations and their impact will rely heavily on the efficient use of Big Data. Often a mutation on its own cannot ...

Jan 18, 2024 · University of Arizona Health Sciences researchers are using big data to target a particularly challenging gene mutation called KRAS. There ...

Jun 14, 2024 · A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia. Nat Commun 2018;9:42. [PMC free article] ...

Apr 9, 2021 · M.J.. et al. . Apache Spark: a unified engine for big data processing . Commun. ACM . 2016. ;. 59. : 56. –. 65 . Google Scholar · Crossref.

In this paper, we utilize Big Data Processing and develop Predictive Analytics Models to examine and analyze mutations associated with osteoporosis and ...

Mar 7, 2018 · Finally, commercial solutions, although attractive for big centers, may not be a feasible option for small groups. ... mutation annotations are ...

Addresses the potential utility of big data in head and neck oncology. Touches upon the integration of clinical, pathological and QoL data.