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bioRxiv · 10.1101/2020.06.06.131482

DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification

Decamps, C.·Arnaud, A.·Petiprez, F.·Ayadi, M.·Baures, A.·Armenoult, L.·HADACA consortium,·Nicolle, R.·Tomasini, R.·De Reynies, A.·Cros, J.·Blum, Y.·Richard, M.
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Abstract

MotivationQuantification of tumor heterogeneity is essential to better understand cancer progressionand to adapt therapeutic treatments to patient specificities. ResultsWe present DECONbench, a web-based application to benchmark computational methods dedicated to quantify of cell-type heterogeneity in cancer. DECONbench includes benchmark datasets, computational methods and performance evaluation. It allows submission of new methods. Availability and implementationDECONbench is hosted on the open source codalab competition platform. It is freely available at: https://competitions.codalab.org/competitions/23660. Supplementary informationAdditional information is available online and on our website: https://cancer-heterogeneity.github.io/deconbench.html.

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Decamps, C., Arnaud, A., Petiprez, F., Ayadi, M., Baures, A., Armenoult, L., HADACA consortium,, Nicolle, R., Tomasini, R., De Reynies, A., Cros, J., Blum, Y., Richard, M.. 2020-06-09. DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification. https://doi.org/10.1101/2020.06.06.131482

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