dat@UBFCdat@UBFC search : discipline:oncologydat@UBFC websitehttps://search-data.ubfc.fr/custom/logo/icon/100.pnghttps://search-data.ubfc.fr/custom/logo/full/105h.pnghttps://search-data.ubfc.fr/search.php?s=discipline%3Aoncology&format=atom&lang=en2019-09-20T13:09:19ZWikipedia network analysis of cancer interactions and world influencehttps://search-data.ubfc.fr/FR-18008901306731-2019-01-25_Wikipedia-network-analysis-of-cancer-interactions.html#maj201909201509192019-01-25T14:54:40Z2019-09-20T13:09:19ZDima Shepelyanskyhttp://www.quantware.ups-tlse.fr/dima/José Lageshttp://perso.utinam.cnrs.fr/~lages/Guillaume Rollinhttp://g-rollin.hebfree.org/
<p>We apply the Google matrix algorithms for analysis of interactions and influence of 37 cancer types, 203 cancer drugs and 195 world countries using the network of 5 416 537 English Wikipedia articles with all their directed hyperlinks. The PageRank algorithm provides the importance order of cancers ...</p>
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<strong>Disciplines :</strong>
<a href="https://search-data.ubfc.fr/search.php?s=discipline%3A%22computer+science%2C+artificial+intelligence%22">computer science, artificial intelligence</a>
<a href="https://search-data.ubfc.fr/search.php?s=discipline%3A%22computer+science%2C+information+systems%22">computer science, information systems</a>
<a href="https://search-data.ubfc.fr/search.php?s=discipline%3Aoncology">oncology</a>
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<div><strong>Collected date :</strong> from 1 May 2017 to 31 May 2017</div>
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<strong>Creators :</strong>
<a href="https://search-data.ubfc.fr/search.php?s=creator%3A%22Jos%C3%A9+Lages%22">José Lages</a>
<a href="https://search-data.ubfc.fr/search.php?s=creator%3A%22Dima+Shepelyansky%22">Dima Shepelyansky</a>
<a href="https://search-data.ubfc.fr/search.php?s=creator%3A%22Guillaume+Rollin%22">Guillaume Rollin</a>
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Attribution, Non Commercial, Share AlikeInteractions of pharmaceutical companies with world countries, cancers and rare diseases from Wikipedia network analysishttps://search-data.ubfc.fr/FR-18008901306731-2019-08-12_Interactions-of-pharmaceutical-companies-with.html#maj201908121620392019-08-12T14:20:39Z2019-08-12T14:20:39ZDima Shepelyanskyhttp://www.quantware.ups-tlse.fr/dima/Guillaume Rollinhttp://g-rollin.hebfree.org/José Lageshttp://perso.utinam.cnrs.fr/~lages/
<p>Using the English Wikipedia network of more than 5 million articles we analyze interactions and interlinks between the 34 largest pharmaceutical companies, 195 world countries, 47 rare renal diseases and 37 types of cancer. The recently developed algorithm of reduced Google matrix (REGOMAX) allows ...</p>
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<strong>Disciplines :</strong>
<a href="https://search-data.ubfc.fr/search.php?s=discipline%3A%22computer+science%2C+artificial+intelligence%22">computer science, artificial intelligence</a>
<a href="https://search-data.ubfc.fr/search.php?s=discipline%3A%22computer+science%2C+information+systems%22">computer science, information systems</a>
<a href="https://search-data.ubfc.fr/search.php?s=discipline%3A%22genetics+%26+heredity%22">genetics & heredity</a>
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<div><strong>Collected date :</strong> from 1 May 2017 to 31 May 2017</div>
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<strong>Creators :</strong>
<a href="https://search-data.ubfc.fr/search.php?s=creator%3A%22Jos%C3%A9+Lages%22">José Lages</a>
<a href="https://search-data.ubfc.fr/search.php?s=creator%3A%22Dima+Shepelyansky%22">Dima Shepelyansky</a>
<a href="https://search-data.ubfc.fr/search.php?s=creator%3A%22Guillaume+Rollin%22">Guillaume Rollin</a>
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Attribution, Non Commercial, Share AlikeGooglomics: Inferring hidden causal relations between pathway members using reduced Google matrix of directed biological networkshttps://search-data.ubfc.fr/FR-18008901306731-2017-03-28-04_Googlomics-Inferring-hidden-causal-relations.html#maj201801301706502017-03-28T12:15:31Z2018-01-30T16:06:50ZDima Shepelyanskyhttp://www.quantware.ups-tlse.fr/dima/José Lageshttp://perso.utinam.cnrs.fr/~lages/Andrei Zinovyevhttp://www.ihes.fr/~zinovyev/
<p>Signaling pathways represent parts of the global biological network which connects them into a seamless whole through complex direct and indirect (hidden) crosstalk whose structure can change during normal development or in a pathological conditions such as cancer. Advanced methods for ...</p>
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<strong>Disciplines :</strong>
<a href="https://search-data.ubfc.fr/search.php?s=discipline%3A%22mathematical+%26+computational+biology%22">mathematical & computational biology</a>
<a href="https://search-data.ubfc.fr/search.php?s=discipline%3Aoncology">oncology</a>
<a href="https://search-data.ubfc.fr/search.php?s=discipline%3A%22physics%2C+mathematical%22">physics, mathematical</a>
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<div><strong>Collected date :</strong> from Dec 2015 to Dec 2016</div>
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<strong>Creators :</strong>
<a href="https://search-data.ubfc.fr/search.php?s=creator%3A%22Jos%C3%A9+Lages%22">José Lages</a>
<a href="https://search-data.ubfc.fr/search.php?s=creator%3A%22Dima+Shepelyansky%22">Dima Shepelyansky</a>
<a href="https://search-data.ubfc.fr/search.php?s=creator%3A%22Andrei+Zinovyev%22">Andrei Zinovyev</a>
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Attribution, Non Commercial, Share Alike