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Modelling malignant progression with a finite state machine supports a two checkpoint theory of cancer

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Bibliographic Details
Published in:BioDiscovery
Format: Online Article RSS Article
Published: 2012
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container_title BioDiscovery
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discipline_display Natural Sciences
discipline_facet Natural Sciences
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genre Journal Article
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institution FRELIP
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publishDate 2012
publishDateSort 2012
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spellingShingle Modelling malignant progression with a finite state machine supports a two checkpoint theory of cancer
Biology
Natural Sciences — Life Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Life Sciences
sub_discipline_facet Natural Sciences — Life Sciences
subject_display Biology
Natural Sciences — Life Sciences
Natural Sciences
Biology
Natural Sciences — Life Sciences
Natural Sciences
subject_facet Biology
Natural Sciences — Life Sciences
Natural Sciences
title Modelling malignant progression with a finite state machine supports a two checkpoint theory of cancer
title_auth Modelling malignant progression with a finite state machine supports a two checkpoint theory of cancer
title_full Modelling malignant progression with a finite state machine supports a two checkpoint theory of cancer
title_fullStr Modelling malignant progression with a finite state machine supports a two checkpoint theory of cancer
title_full_unstemmed Modelling malignant progression with a finite state machine supports a two checkpoint theory of cancer
title_short Modelling malignant progression with a finite state machine supports a two checkpoint theory of cancer
title_sort modelling malignant progression with a finite state machine supports a two checkpoint theory of cancer
topic Biology
Natural Sciences — Life Sciences
Natural Sciences
url https://biodiscovery.pensoft.net/article/8916/