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File:Semi-automated testing of reproducibility and robustness of the cancer biology literature by robot.jpg

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Summary

Description
English: "The overall process of testing the reproducibility and robustness of the cancer biology literature by robot. First, text mining is used to extract statements about the effect of drugs on gene expression in breast cancer. Then two different teams semi-automatically tested these statements using two different protocols, and two different cell lines (MCF7 and MDA-MB-231) using the laboratory automation system Eve."
Date
Source https://royalsocietypublishing.org/doi/10.1098/rsif.2021.0821
Author Authors of the study: Katherine Roper, A. Abdel-Rehim, Sonya Hubbard, Martin Carpenter, Andrey Rzhetsky, Larisa Soldatova and Ross D. King

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From the study "Testing the reproducibility and robustness of the cancer biology literature by robot"

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6 April 2022

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current17:27, 22 May 2022Thumbnail for version as of 17:27, 22 May 20221,421 × 1,103 (318 KB)PrototyperspectiveUploaded a work by Authors of the study: Katherine Roper, A. Abdel-Rehim, Sonya Hubbard, Martin Carpenter, Andrey Rzhetsky, Larisa Soldatova and Ross D. King from https://royalsocietypublishing.org/doi/10.1098/rsif.2021.0821 with UploadWizard

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