FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387326462> ?p ?o ?g. }

• W4387326462 abstract "MicroRNAs (miRs) are small noncoding RNAs that regulate gene expression and are emerging as powerful indicators of diseases. MiRs are secreted in blood plasma and thus may report on systemic aberrations at an early stage via liquid biopsy analysis. We present a method for multiplexed single-molecule detection and quantification of a selected panel of miRs. The proposed assay does not depend on sequencing, requires less than 1 mL of blood, and provides fast results by direct analysis of native, unamplified miRs. This is enabled by a novel combination of compact spectral imaging and a machine learning-based detection scheme that allows simultaneous multiplexed classification of multiple miR targets per sample. The proposed end-to-end pipeline is extremely time efficient and cost-effective. We benchmark our method with synthetic mixtures of three target miRs, showcasing the ability to quantify and distinguish subtle ratio changes between miR targets." @default.
• W4387326462 created "2023-10-05" @default.
• W4387326462 creator A5018938911 @default.
• W4387326462 creator A5038036164 @default.
• W4387326462 creator A5066507076 @default.
• W4387326462 creator A5070316710 @default.
• W4387326462 creator A5079731393 @default.
• W4387326462 creator A5085619646 @default.
• W4387326462 creator A5089836860 @default.
• W4387326462 creator A5092999158 @default.
• W4387326462 date "2023-10-04" @default.
• W4387326462 modified "2023-10-14" @default.
• W4387326462 title "Machine-Learning-Based Single-Molecule Quantification of Circulating MicroRNA Mixtures" @default.
• W4387326462 cites W1543933768 @default.
• W4387326462 cites W1963853602 @default.
• W4387326462 cites W1976736675 @default.
• W4387326462 cites W1982810690 @default.
• W4387326462 cites W1995830102 @default.
• W4387326462 cites W2006247279 @default.
• W4387326462 cites W2026570544 @default.
• W4387326462 cites W2035523766 @default.
• W4387326462 cites W2094077020 @default.
• W4387326462 cites W2097090806 @default.
• W4387326462 cites W2105679485 @default.
• W4387326462 cites W2120504118 @default.
• W4387326462 cites W2125698369 @default.
• W4387326462 cites W2137753785 @default.
• W4387326462 cites W2148929244 @default.
• W4387326462 cites W2151472648 @default.
• W4387326462 cites W2158878989 @default.
• W4387326462 cites W2533012205 @default.
• W4387326462 cites W2763189604 @default.
• W4387326462 cites W2765410042 @default.
• W4387326462 cites W2788057351 @default.
• W4387326462 cites W2793056024 @default.
• W4387326462 cites W2804970146 @default.
• W4387326462 cites W2808656872 @default.
• W4387326462 cites W2902857081 @default.
• W4387326462 cites W2910544292 @default.
• W4387326462 cites W2952539953 @default.
• W4387326462 cites W3013401974 @default.
• W4387326462 cites W3035889626 @default.
• W4387326462 cites W3042064298 @default.
• W4387326462 cites W3094159415 @default.
• W4387326462 cites W3098600693 @default.
• W4387326462 cites W3112407107 @default.
• W4387326462 cites W3122824372 @default.
• W4387326462 cites W3126113201 @default.
• W4387326462 cites W3131189123 @default.
• W4387326462 cites W3146565636 @default.
• W4387326462 cites W3190942156 @default.
• W4387326462 cites W4211064852 @default.
• W4387326462 cites W4213356359 @default.
• W4387326462 cites W4214775170 @default.
• W4387326462 cites W4246271082 @default.
• W4387326462 doi "https://doi.org/10.1021/acssensors.3c01234" @default.
• W4387326462 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37791886" @default.
• W4387326462 hasPublicationYear "2023" @default.
• W4387326462 type Work @default.
• W4387326462 citedByCount "0" @default.
• W4387326462 crossrefType "journal-article" @default.
• W4387326462 hasAuthorship W4387326462A5018938911 @default.
• W4387326462 hasAuthorship W4387326462A5038036164 @default.
• W4387326462 hasAuthorship W4387326462A5066507076 @default.
• W4387326462 hasAuthorship W4387326462A5070316710 @default.
• W4387326462 hasAuthorship W4387326462A5079731393 @default.
• W4387326462 hasAuthorship W4387326462A5085619646 @default.
• W4387326462 hasAuthorship W4387326462A5089836860 @default.
• W4387326462 hasAuthorship W4387326462A5092999158 @default.
• W4387326462 hasBestOaLocation W43873264621 @default.
• W4387326462 hasConcept C104317684 @default.
• W4387326462 hasConcept C13280743 @default.
• W4387326462 hasConcept C145059251 @default.
• W4387326462 hasConcept C153180895 @default.
• W4387326462 hasConcept C154945302 @default.
• W4387326462 hasConcept C185798385 @default.
• W4387326462 hasConcept C186060115 @default.
• W4387326462 hasConcept C19275194 @default.
• W4387326462 hasConcept C199360897 @default.
• W4387326462 hasConcept C205649164 @default.
• W4387326462 hasConcept C41008148 @default.
• W4387326462 hasConcept C43521106 @default.
• W4387326462 hasConcept C54355233 @default.
• W4387326462 hasConcept C70721500 @default.
• W4387326462 hasConcept C76155785 @default.
• W4387326462 hasConcept C86803240 @default.
• W4387326462 hasConceptScore W4387326462C104317684 @default.
• W4387326462 hasConceptScore W4387326462C13280743 @default.
• W4387326462 hasConceptScore W4387326462C145059251 @default.
• W4387326462 hasConceptScore W4387326462C153180895 @default.
• W4387326462 hasConceptScore W4387326462C154945302 @default.
• W4387326462 hasConceptScore W4387326462C185798385 @default.
• W4387326462 hasConceptScore W4387326462C186060115 @default.
• W4387326462 hasConceptScore W4387326462C19275194 @default.
• W4387326462 hasConceptScore W4387326462C199360897 @default.
• W4387326462 hasConceptScore W4387326462C205649164 @default.
• W4387326462 hasConceptScore W4387326462C41008148 @default.
• W4387326462 hasConceptScore W4387326462C43521106 @default.
• W4387326462 hasConceptScore W4387326462C54355233 @default.
• W4387326462 hasConceptScore W4387326462C70721500 @default.

• next