Published on 17.4.2020 in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16533, first published October 11, 2019.

Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform

Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform

Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform

Daniel Nasseh^{1, 2}

; Sophie Schneiderbauer^{1, 2}

; Michael Lange^{1, 3}

; Diana Schweizer²

; Volker Heinemann^{1, 2, 4}

; Claus Belka^{1, 4, 5}

; Ranko Cadenovic⁶

; Laurence Buysse⁶

; Nicole Erickson²

; Michael Mueller⁷

; Karsten Kortuem⁷

; Maximilian Niyazi^{4, 5}

; Sebastian Marschner^{4, 5}

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