FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3037807288> ?p ?o ?g. }

• W3037807288 abstract "Abstract Pre-clinical models have been the workhorse of cancer research for decades. While powerful, these models do not fully recapitulate the complexity of human tumors. Consequently, translating biomarkers of drug response from pre-clinical models to human tumors has been particularly challenging. To explicitly take these differences into account and enable an efficient exploitation of the vast pre-clinical drug response resources, we developed TRANSACT, a novel computational framework for clinical drug response prediction. First, TRANSACT employs non-linear manifold learning to capture biological processes active in pre-clinical models and human tumors. Then, TRANSACT builds predictors on cell line response only and transfers these to Patient-Derived Xenografts (PDXs) and human tumors. TRANSACT outperforms four competing approaches, including Deep Learning approaches, for a set of 15 drugs on PDXs, TCGA cohorts and 226 metastatic tumors from the Hartwig Medical Foundation data. For only four drugs Deep Learning outperforms TRANSACT. We further derived an algorithmic approach to interpret TRANSACT and used it to validate the approach by identifying known biomarkers to targeted therapies and we propose novel putative biomarkers of resistance to Paclitaxel and Gemcitabine." @default.
• W3037807288 created "2020-07-02" @default.
• W3037807288 creator A5020129085 @default.
• W3037807288 creator A5036462844 @default.
• W3037807288 creator A5047245368 @default.
• W3037807288 creator A5052699801 @default.
• W3037807288 creator A5056948757 @default.
• W3037807288 creator A5076305401 @default.
• W3037807288 creator A5086060106 @default.
• W3037807288 creator A5091036585 @default.
• W3037807288 date "2020-06-29" @default.
• W3037807288 modified "2023-10-05" @default.
• W3037807288 title "Predicting clinical drug response from model systems by non-linear subspace-based transfer learning" @default.
• W3037807288 cites W1781764024 @default.
• W3037807288 cites W1970707135 @default.
• W3037807288 cites W1987219048 @default.
• W3037807288 cites W2011301426 @default.
• W3037807288 cites W2014881369 @default.
• W3037807288 cites W2016159874 @default.
• W3037807288 cites W2018044006 @default.
• W3037807288 cites W2024969564 @default.
• W3037807288 cites W2040988771 @default.
• W3037807288 cites W2043865646 @default.
• W3037807288 cites W2079517811 @default.
• W3037807288 cites W2083811717 @default.
• W3037807288 cites W2085269372 @default.
• W3037807288 cites W2093228727 @default.
• W3037807288 cites W2098583836 @default.
• W3037807288 cites W2099497713 @default.
• W3037807288 cites W2102286060 @default.
• W3037807288 cites W2104068492 @default.
• W3037807288 cites W2104094955 @default.
• W3037807288 cites W2107018762 @default.
• W3037807288 cites W2108933868 @default.
• W3037807288 cites W2114104545 @default.
• W3037807288 cites W2122825543 @default.
• W3037807288 cites W2124910821 @default.
• W3037807288 cites W2128053425 @default.
• W3037807288 cites W2130410032 @default.
• W3037807288 cites W2131487381 @default.
• W3037807288 cites W2138207763 @default.
• W3037807288 cites W2139132031 @default.
• W3037807288 cites W2139248078 @default.
• W3037807288 cites W2140095548 @default.
• W3037807288 cites W2149466042 @default.
• W3037807288 cites W2153454576 @default.
• W3037807288 cites W2154558852 @default.
• W3037807288 cites W2158485828 @default.
• W3037807288 cites W2163188200 @default.
• W3037807288 cites W2165909549 @default.
• W3037807288 cites W2168102484 @default.
• W3037807288 cites W2169456326 @default.
• W3037807288 cites W2318605753 @default.
• W3037807288 cites W2416657206 @default.
• W3037807288 cites W2432718434 @default.
• W3037807288 cites W2432815617 @default.
• W3037807288 cites W2461427403 @default.
• W3037807288 cites W2472306545 @default.
• W3037807288 cites W2508784321 @default.
• W3037807288 cites W2567080747 @default.
• W3037807288 cites W2592811885 @default.
• W3037807288 cites W2737053924 @default.
• W3037807288 cites W2747036018 @default.
• W3037807288 cites W2789473776 @default.
• W3037807288 cites W2792791113 @default.
• W3037807288 cites W2795123374 @default.
• W3037807288 cites W2796144824 @default.
• W3037807288 cites W2807492413 @default.
• W3037807288 cites W2884635850 @default.
• W3037807288 cites W2886855629 @default.
• W3037807288 cites W2887685819 @default.
• W3037807288 cites W2889326414 @default.
• W3037807288 cites W2895608766 @default.
• W3037807288 cites W2896050619 @default.
• W3037807288 cites W2899866452 @default.
• W3037807288 cites W2908127244 @default.
• W3037807288 cites W2949177718 @default.
• W3037807288 cites W2955502047 @default.
• W3037807288 cites W2955754489 @default.
• W3037807288 cites W2979509742 @default.
• W3037807288 cites W2994958138 @default.
• W3037807288 cites W3002752511 @default.
• W3037807288 cites W3005974663 @default.
• W3037807288 cites W3007745092 @default.
• W3037807288 cites W3011175797 @default.
• W3037807288 cites W3013850304 @default.
• W3037807288 cites W3026538346 @default.
• W3037807288 cites W3101749733 @default.
• W3037807288 cites W3103145119 @default.
• W3037807288 cites W4251085907 @default.
• W3037807288 cites W4312258136 @default.
• W3037807288 doi "https://doi.org/10.1101/2020.06.29.177139" @default.
• W3037807288 hasPublicationYear "2020" @default.
• W3037807288 type Work @default.
• W3037807288 sameAs 3037807288 @default.
• W3037807288 citedByCount "4" @default.
• W3037807288 countsByYear W30378072882021 @default.
• W3037807288 countsByYear W30378072882022 @default.
• W3037807288 countsByYear W30378072882023 @default.
• W3037807288 crossrefType "posted-content" @default.

• next