Matches in SemOpenAlex for { <https://semopenalex.org/work/W3122292144> ?p ?o ?g. }
- W3122292144 endingPage "1073" @default.
- W3122292144 startingPage "1073" @default.
- W3122292144 abstract "One of the important questions in aging research is how differences in transcriptomics are associated with the longevity of various species. Unfortunately, at the level of individual genes, the links between expression in different organs and maximum lifespan (MLS) are yet to be fully understood. Analyses are complicated further by the fact that MLS is highly associated with other confounding factors (metabolic rate, gestation period, body mass, etc.) and that linear models may be limiting. Using gene expression from 41 mammalian species, across five organs, we constructed gene-centric regression models associating gene expression with MLS and other species traits. Additionally, we used SHapley Additive exPlanations and Bayesian networks to investigate the non-linear nature of the interrelations between the genes predicted to be determinants of species MLS. Our results revealed that expression patterns correlate with MLS, some across organs, and others in an organ-specific manner. The combination of methods employed revealed gene signatures formed by only a few genes that are highly predictive towards MLS, which could be used to identify novel longevity regulator candidates in mammals." @default.
- W3122292144 created "2021-02-01" @default.
- W3122292144 creator A5005687324 @default.
- W3122292144 creator A5028223823 @default.
- W3122292144 creator A5038721524 @default.
- W3122292144 creator A5045009162 @default.
- W3122292144 creator A5047122384 @default.
- W3122292144 creator A5060466282 @default.
- W3122292144 creator A5075818416 @default.
- W3122292144 creator A5082394411 @default.
- W3122292144 date "2021-01-22" @default.
- W3122292144 modified "2023-10-16" @default.
- W3122292144 title "Machine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals" @default.
- W3122292144 cites W1922236448 @default.
- W3122292144 cites W1923595707 @default.
- W3122292144 cites W1964973641 @default.
- W3122292144 cites W1975477068 @default.
- W3122292144 cites W1986920971 @default.
- W3122292144 cites W1986988549 @default.
- W3122292144 cites W1989458057 @default.
- W3122292144 cites W1989629919 @default.
- W3122292144 cites W1990543834 @default.
- W3122292144 cites W1998767819 @default.
- W3122292144 cites W2009794412 @default.
- W3122292144 cites W2019032890 @default.
- W3122292144 cites W2021300876 @default.
- W3122292144 cites W2026944808 @default.
- W3122292144 cites W2028597364 @default.
- W3122292144 cites W2028726041 @default.
- W3122292144 cites W2030172671 @default.
- W3122292144 cites W2050903035 @default.
- W3122292144 cites W2064186732 @default.
- W3122292144 cites W2070050178 @default.
- W3122292144 cites W2083746120 @default.
- W3122292144 cites W2091546930 @default.
- W3122292144 cites W2093166182 @default.
- W3122292144 cites W2097337008 @default.
- W3122292144 cites W2099896244 @default.
- W3122292144 cites W2101185010 @default.
- W3122292144 cites W2102774255 @default.
- W3122292144 cites W2115373331 @default.
- W3122292144 cites W2123879591 @default.
- W3122292144 cites W2125018340 @default.
- W3122292144 cites W2130410032 @default.
- W3122292144 cites W2131391897 @default.
- W3122292144 cites W2143508222 @default.
- W3122292144 cites W2166682872 @default.
- W3122292144 cites W2174493298 @default.
- W3122292144 cites W2281531600 @default.
- W3122292144 cites W2325332831 @default.
- W3122292144 cites W2331043096 @default.
- W3122292144 cites W2337885843 @default.
- W3122292144 cites W2345356016 @default.
- W3122292144 cites W2399736900 @default.
- W3122292144 cites W2422377060 @default.
- W3122292144 cites W2552812120 @default.
- W3122292144 cites W2582227691 @default.
- W3122292144 cites W2587810996 @default.
- W3122292144 cites W2592811885 @default.
- W3122292144 cites W2595793016 @default.
- W3122292144 cites W2741481561 @default.
- W3122292144 cites W2742273126 @default.
- W3122292144 cites W2745510249 @default.
- W3122292144 cites W2748522542 @default.
- W3122292144 cites W2752305606 @default.
- W3122292144 cites W2767517408 @default.
- W3122292144 cites W2891701522 @default.
- W3122292144 cites W2951692437 @default.
- W3122292144 cites W2951912016 @default.
- W3122292144 cites W2953159213 @default.
- W3122292144 cites W2990981753 @default.
- W3122292144 cites W3009570400 @default.
- W3122292144 cites W3013202411 @default.
- W3122292144 cites W3033565714 @default.
- W3122292144 cites W3069882220 @default.
- W3122292144 cites W3093776656 @default.
- W3122292144 cites W3041199208 @default.
- W3122292144 doi "https://doi.org/10.3390/ijms22031073" @default.
- W3122292144 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7865694" @default.
- W3122292144 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33499037" @default.
- W3122292144 hasPublicationYear "2021" @default.
- W3122292144 type Work @default.
- W3122292144 sameAs 3122292144 @default.
- W3122292144 citedByCount "6" @default.
- W3122292144 countsByYear W31222921442021 @default.
- W3122292144 countsByYear W31222921442023 @default.
- W3122292144 crossrefType "journal-article" @default.
- W3122292144 hasAuthorship W3122292144A5005687324 @default.
- W3122292144 hasAuthorship W3122292144A5028223823 @default.
- W3122292144 hasAuthorship W3122292144A5038721524 @default.
- W3122292144 hasAuthorship W3122292144A5045009162 @default.
- W3122292144 hasAuthorship W3122292144A5047122384 @default.
- W3122292144 hasAuthorship W3122292144A5060466282 @default.
- W3122292144 hasAuthorship W3122292144A5075818416 @default.
- W3122292144 hasAuthorship W3122292144A5082394411 @default.
- W3122292144 hasBestOaLocation W31222921441 @default.
- W3122292144 hasConcept C104317684 @default.
- W3122292144 hasConcept C126322002 @default.