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- W2079680569 abstract "Molecular CarcinogenesisVolume 7, Issue 3 p. 139-146 Working Hypothesis How many mutations are required for tumorigenesis? implications from human cancer data Allan Balmain, Allan Balmain National Accelerator Centre, Faure, South AfricaSearch for more papers by this authorJ. Carl Barrett, J. Carl Barrett National Accelerator Centre, Faure, South AfricaSearch for more papers by this authorHarold Moses, Harold Moses Editors National Accelerator Centre, Faure, South AfricaSearch for more papers by this authorMichael J. Renan, Corresponding Author Michael J. Renan National Accelerator Centre, Faure, South AfricaNational Accelerator Centre, P.O. Box 72, Faure, South Africa 7131Search for more papers by this author Allan Balmain, Allan Balmain National Accelerator Centre, Faure, South AfricaSearch for more papers by this authorJ. Carl Barrett, J. Carl Barrett National Accelerator Centre, Faure, South AfricaSearch for more papers by this authorHarold Moses, Harold Moses Editors National Accelerator Centre, Faure, South AfricaSearch for more papers by this authorMichael J. Renan, Corresponding Author Michael J. Renan National Accelerator Centre, Faure, South AfricaNational Accelerator Centre, P.O. Box 72, Faure, South Africa 7131Search for more papers by this author First published: 1993 https://doi.org/10.1002/mc.2940070303Citations: 280AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Citing Literature Volume7, Issue31993Pages 139-146 RelatedInformation" @default.
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- W2079680569 title "How many mutations are required for tumorigenesis? implications from human cancer data" @default.
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