FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2238290008> ?p ?o ?g. }

• W2238290008 endingPage "592" @default.
• W2238290008 startingPage "576" @default.
• W2238290008 abstract "Big-data-based edge biomarker is a new concept to characterize disease features based on biomedical big data in a dynamical and network manner, which also provides alternative strategies to indicate disease status in single samples. This article gives a comprehensive review on big-data-based edge biomarkers for complex diseases in an individual patient, which are defined as biomarkers based on network information and high-dimensional data. Specifically, we firstly introduce the sources and structures of biomedical big data accessible in public for edge biomarker and disease study. We show that biomedical big data are typically ‘small-sample size in high-dimension space', i.e. small samples but with high dimensions on features (e.g. omics data) for each individual, in contrast to traditional big data in many other fields characterized as ‘large-sample size in low-dimension space', i.e. big samples but with low dimensions on features. Then, we demonstrate the concept, model and algorithm for edge biomarkers and further big-data-based edge biomarkers. Dissimilar to conventional biomarkers, edge biomarkers, e.g. module biomarkers in module network rewiring-analysis, are able to predict the disease state by learning differential associations between molecules rather than differential expressions of molecules during disease progression or treatment in individual patients. In particular, in contrast to using the information of the common molecules or edges (i.e.molecule-pairs) across a population in traditional biomarkers including network and edge biomarkers, big-data-based edge biomarkers are specific for each individual and thus can accurately evaluate the disease state by considering the individual heterogeneity. Therefore, the measurement of big data in a high-dimensional space is required not only in the learning process but also in the diagnosing or predicting process of the tested individual. Finally, we provide a case study on analyzing the temporal expression data from a malaria vaccine trial by big-data-based edge biomarkers from module network rewiring-analysis. The illustrative results show that the identified module biomarkers can accurately distinguish vaccines with or without protection and outperformed previous reported gene signatures in terms of effectiveness and efficiency." @default.
• W2238290008 created "2016-06-24" @default.
• W2238290008 creator A5012283696 @default.
• W2238290008 creator A5016501386 @default.
• W2238290008 creator A5026321844 @default.
• W2238290008 creator A5032046795 @default.
• W2238290008 creator A5049396596 @default.
• W2238290008 creator A5085672573 @default.
• W2238290008 date "2015-09-26" @default.
• W2238290008 modified "2023-10-17" @default.
• W2238290008 title "Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals" @default.
• W2238290008 cites W1566952502 @default.
• W2238290008 cites W162264688 @default.
• W2238290008 cites W1892363833 @default.
• W2238290008 cites W1964335013 @default.
• W2238290008 cites W1965302838 @default.
• W2238290008 cites W1968667083 @default.
• W2238290008 cites W1969361257 @default.
• W2238290008 cites W1974769731 @default.
• W2238290008 cites W1979003656 @default.
• W2238290008 cites W1981755148 @default.
• W2238290008 cites W1984965281 @default.
• W2238290008 cites W1985498517 @default.
• W2238290008 cites W1986129954 @default.
• W2238290008 cites W1987191607 @default.
• W2238290008 cites W1987580976 @default.
• W2238290008 cites W1992045522 @default.
• W2238290008 cites W1992570579 @default.
• W2238290008 cites W1992900610 @default.
• W2238290008 cites W1998031633 @default.
• W2238290008 cites W1998767819 @default.
• W2238290008 cites W2002159447 @default.
• W2238290008 cites W2002376494 @default.
• W2238290008 cites W2006095880 @default.
• W2238290008 cites W2011417152 @default.
• W2238290008 cites W2012636132 @default.
• W2238290008 cites W2012991226 @default.
• W2238290008 cites W2017665540 @default.
• W2238290008 cites W2018663224 @default.
• W2238290008 cites W2025498302 @default.
• W2238290008 cites W2025945038 @default.
• W2238290008 cites W2029924598 @default.
• W2238290008 cites W2031339798 @default.
• W2238290008 cites W2035471593 @default.
• W2238290008 cites W2036369755 @default.
• W2238290008 cites W2036654087 @default.
• W2238290008 cites W2040007196 @default.
• W2238290008 cites W2041086027 @default.
• W2238290008 cites W2041155899 @default.
• W2238290008 cites W2041813460 @default.
• W2238290008 cites W2043398720 @default.
• W2238290008 cites W2045358197 @default.
• W2238290008 cites W2047565705 @default.
• W2238290008 cites W2052627308 @default.
• W2238290008 cites W2054934947 @default.
• W2238290008 cites W2055706365 @default.
• W2238290008 cites W2056455811 @default.
• W2238290008 cites W2057215967 @default.
• W2238290008 cites W2057325577 @default.
• W2238290008 cites W2057545775 @default.
• W2238290008 cites W2058736322 @default.
• W2238290008 cites W2059268932 @default.
• W2238290008 cites W2060427373 @default.
• W2238290008 cites W2063259979 @default.
• W2238290008 cites W2066255572 @default.
• W2238290008 cites W2067690633 @default.
• W2238290008 cites W2070494252 @default.
• W2238290008 cites W2075174106 @default.
• W2238290008 cites W2076865561 @default.
• W2238290008 cites W2077648125 @default.
• W2238290008 cites W2078089821 @default.
• W2238290008 cites W2079859830 @default.
• W2238290008 cites W2080549611 @default.
• W2238290008 cites W2083147890 @default.
• W2238290008 cites W2083613729 @default.
• W2238290008 cites W2085065484 @default.
• W2238290008 cites W2089676160 @default.
• W2238290008 cites W2090162548 @default.
• W2238290008 cites W2093197889 @default.
• W2238290008 cites W2094678200 @default.
• W2238290008 cites W2094856950 @default.
• W2238290008 cites W2096243736 @default.
• W2238290008 cites W2096791516 @default.
• W2238290008 cites W2097099463 @default.
• W2238290008 cites W2098740506 @default.
• W2238290008 cites W2098967508 @default.
• W2238290008 cites W2099067203 @default.
• W2238290008 cites W2107249189 @default.
• W2238290008 cites W2113834377 @default.
• W2238290008 cites W2114954827 @default.
• W2238290008 cites W2115580179 @default.
• W2238290008 cites W2116714025 @default.
• W2238290008 cites W2117319344 @default.
• W2238290008 cites W2117968640 @default.
• W2238290008 cites W2118258530 @default.
• W2238290008 cites W2119387367 @default.
• W2238290008 cites W2121907019 @default.
• W2238290008 cites W2124632458 @default.

• next