Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790975963> ?p ?o ?g. }
- W2790975963 endingPage "68" @default.
- W2790975963 startingPage "58" @default.
- W2790975963 abstract "Tikhonov regularization is the most commonly used method for extracting distance distributions from experimental double electron-electron resonance (DEER) spectroscopy data. This method requires the selection of a regularization parameter, α, and a regularization operator, L. We analyze the performance of a large set of α selection methods and several regularization operators, using a test set of over half a million synthetic noisy DEER traces. These are generated from distance distributions obtained from in silico double labeling of a protein crystal structure of T4 lysozyme with the spin label MTSSL. We compare the methods and operators based on their ability to recover the model distance distributions from the noisy time traces. The results indicate that several α selection methods perform quite well, among them the Akaike information criterion and the generalized cross validation method with either the first- or second-derivative operator. They perform significantly better than currently utilized L-curve methods." @default.
- W2790975963 created "2018-03-29" @default.
- W2790975963 creator A5002446240 @default.
- W2790975963 creator A5023408670 @default.
- W2790975963 date "2018-03-01" @default.
- W2790975963 modified "2023-10-18" @default.
- W2790975963 title "Optimal Tikhonov regularization for DEER spectroscopy" @default.
- W2790975963 cites W1488477687 @default.
- W2790975963 cites W1598813349 @default.
- W2790975963 cites W1634775478 @default.
- W2790975963 cites W1765168616 @default.
- W2790975963 cites W1964630169 @default.
- W2790975963 cites W1968371014 @default.
- W2790975963 cites W1968735445 @default.
- W2790975963 cites W1973999232 @default.
- W2790975963 cites W1979921424 @default.
- W2790975963 cites W1981076909 @default.
- W2790975963 cites W1981748587 @default.
- W2790975963 cites W1984903808 @default.
- W2790975963 cites W1989180903 @default.
- W2790975963 cites W1990381576 @default.
- W2790975963 cites W1990561548 @default.
- W2790975963 cites W1994519311 @default.
- W2790975963 cites W1994564471 @default.
- W2790975963 cites W1998148123 @default.
- W2790975963 cites W1999015203 @default.
- W2790975963 cites W1999801902 @default.
- W2790975963 cites W2002977724 @default.
- W2790975963 cites W2003240594 @default.
- W2790975963 cites W2005140191 @default.
- W2790975963 cites W2006752983 @default.
- W2790975963 cites W2007568722 @default.
- W2790975963 cites W2011161612 @default.
- W2790975963 cites W2011970434 @default.
- W2790975963 cites W2026558313 @default.
- W2790975963 cites W2029492209 @default.
- W2790975963 cites W2038875032 @default.
- W2790975963 cites W2040595716 @default.
- W2790975963 cites W2046041409 @default.
- W2790975963 cites W2049746610 @default.
- W2790975963 cites W2050033254 @default.
- W2790975963 cites W2052561478 @default.
- W2790975963 cites W2053377922 @default.
- W2790975963 cites W2053960861 @default.
- W2790975963 cites W2056735347 @default.
- W2790975963 cites W2064880038 @default.
- W2790975963 cites W2069433022 @default.
- W2790975963 cites W2072504786 @default.
- W2790975963 cites W2074699226 @default.
- W2790975963 cites W2086056683 @default.
- W2790975963 cites W2089038678 @default.
- W2790975963 cites W2092504481 @default.
- W2790975963 cites W2098098075 @default.
- W2790975963 cites W2104489368 @default.
- W2790975963 cites W2125947653 @default.
- W2790975963 cites W2133393118 @default.
- W2790975963 cites W2133805329 @default.
- W2790975963 cites W2137645797 @default.
- W2790975963 cites W2141195893 @default.
- W2790975963 cites W2142635246 @default.
- W2790975963 cites W2157394313 @default.
- W2790975963 cites W2160267226 @default.
- W2790975963 cites W2168175751 @default.
- W2790975963 cites W2170644900 @default.
- W2790975963 cites W2171548488 @default.
- W2790975963 cites W2413990853 @default.
- W2790975963 cites W2415260692 @default.
- W2790975963 cites W2463032386 @default.
- W2790975963 cites W2474486403 @default.
- W2790975963 cites W2592099752 @default.
- W2790975963 cites W2748430808 @default.
- W2790975963 cites W2767194403 @default.
- W2790975963 cites W3106058021 @default.
- W2790975963 cites W4247667787 @default.
- W2790975963 cites W4252385298 @default.
- W2790975963 doi "https://doi.org/10.1016/j.jmr.2018.01.021" @default.
- W2790975963 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5840305" @default.
- W2790975963 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29414064" @default.
- W2790975963 hasPublicationYear "2018" @default.
- W2790975963 type Work @default.
- W2790975963 sameAs 2790975963 @default.
- W2790975963 citedByCount "56" @default.
- W2790975963 countsByYear W27909759632018 @default.
- W2790975963 countsByYear W27909759632019 @default.
- W2790975963 countsByYear W27909759632020 @default.
- W2790975963 countsByYear W27909759632021 @default.
- W2790975963 countsByYear W27909759632022 @default.
- W2790975963 countsByYear W27909759632023 @default.
- W2790975963 crossrefType "journal-article" @default.
- W2790975963 hasAuthorship W2790975963A5002446240 @default.
- W2790975963 hasAuthorship W2790975963A5023408670 @default.
- W2790975963 hasBestOaLocation W27909759631 @default.
- W2790975963 hasConcept C105795698 @default.
- W2790975963 hasConcept C11413529 @default.
- W2790975963 hasConcept C126674687 @default.
- W2790975963 hasConcept C134306372 @default.
- W2790975963 hasConcept C135252773 @default.
- W2790975963 hasConcept C141718189 @default.