FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3022382224> ?p ?o ?g. }

• W3022382224 endingPage "e9065" @default.
• W3022382224 startingPage "e9065" @default.
• W3022382224 abstract "Hematopoiesis is a highly complex developmental process that produces various types of blood cells. This process is regulated by different genetic networks that control the proliferation, differentiation, and maturation of hematopoietic stem cells (HSCs). Although substantial progress has been made for understanding hematopoiesis, the detailed regulatory mechanisms for the fate determination of HSCs are still unraveled. In this study, we propose a novel approach to infer the detailed regulatory mechanisms. This work is designed to develop a mathematical framework that is able to realize nonlinear gene expression dynamics accurately. In particular, we intended to investigate the effect of possible protein heterodimers and/or synergistic effect in genetic regulation. This approach includes the Extended Forward Search Algorithm to infer network structure (top-down approach) and a non-linear mathematical model to infer dynamical property (bottom-up approach). Based on the published experimental data, we study two regulatory networks of 11 genes for regulating the erythrocyte differentiation pathway and the neutrophil differentiation pathway. The proposed algorithm is first applied to predict the network topologies among 11 genes and 55 non-linear terms which may be for heterodimers and/or synergistic effect. Then, the unknown model parameters are estimated by fitting simulations to the expression data of two different differentiation pathways. In addition, the edge deletion test is conducted to remove possible insignificant regulations from the inferred networks. Furthermore, the robustness property of the mathematical model is employed as an additional criterion to choose better network reconstruction results. Our simulation results successfully realized experimental data for two different differentiation pathways, which suggests that the proposed approach is an effective method to infer the topological structure and dynamic property of genetic regulations." @default.
• W3022382224 created "2020-05-13" @default.
• W3022382224 creator A5011772368 @default.
• W3022382224 creator A5029757214 @default.
• W3022382224 creator A5039097797 @default.
• W3022382224 creator A5067931953 @default.
• W3022382224 date "2020-04-29" @default.
• W3022382224 modified "2023-10-13" @default.
• W3022382224 title "A non-linear reverse-engineering method for inferring genetic regulatory networks" @default.
• W3022382224 cites W1508593718 @default.
• W3022382224 cites W1593308984 @default.
• W3022382224 cites W1977842421 @default.
• W3022382224 cites W1983456610 @default.
• W3022382224 cites W1986625228 @default.
• W3022382224 cites W1986944049 @default.
• W3022382224 cites W1998500203 @default.
• W3022382224 cites W1999047431 @default.
• W3022382224 cites W2007821776 @default.
• W3022382224 cites W2009880746 @default.
• W3022382224 cites W2021957728 @default.
• W3022382224 cites W2022650810 @default.
• W3022382224 cites W2026816019 @default.
• W3022382224 cites W2026857468 @default.
• W3022382224 cites W2029991507 @default.
• W3022382224 cites W2035824523 @default.
• W3022382224 cites W2039657095 @default.
• W3022382224 cites W2039971323 @default.
• W3022382224 cites W2047365291 @default.
• W3022382224 cites W2047632785 @default.
• W3022382224 cites W2049633694 @default.
• W3022382224 cites W2051676319 @default.
• W3022382224 cites W2051740914 @default.
• W3022382224 cites W2055736709 @default.
• W3022382224 cites W2058221907 @default.
• W3022382224 cites W2061866900 @default.
• W3022382224 cites W2063957967 @default.
• W3022382224 cites W2069614478 @default.
• W3022382224 cites W2071420568 @default.
• W3022382224 cites W2081031511 @default.
• W3022382224 cites W2081646565 @default.
• W3022382224 cites W2085890860 @default.
• W3022382224 cites W2093200886 @default.
• W3022382224 cites W2093368239 @default.
• W3022382224 cites W2102324931 @default.
• W3022382224 cites W2106454464 @default.
• W3022382224 cites W2109357714 @default.
• W3022382224 cites W2111384508 @default.
• W3022382224 cites W2111868926 @default.
• W3022382224 cites W2122708083 @default.
• W3022382224 cites W2124554598 @default.
• W3022382224 cites W2129905934 @default.
• W3022382224 cites W2134759932 @default.
• W3022382224 cites W2136261892 @default.
• W3022382224 cites W2136453810 @default.
• W3022382224 cites W2138257683 @default.
• W3022382224 cites W2140129126 @default.
• W3022382224 cites W2145444336 @default.
• W3022382224 cites W2147597336 @default.
• W3022382224 cites W2150731845 @default.
• W3022382224 cites W2154699417 @default.
• W3022382224 cites W2157479465 @default.
• W3022382224 cites W2157611962 @default.
• W3022382224 cites W2157886837 @default.
• W3022382224 cites W2158214348 @default.
• W3022382224 cites W2165625463 @default.
• W3022382224 cites W2169053773 @default.
• W3022382224 cites W2308980451 @default.
• W3022382224 cites W2337819340 @default.
• W3022382224 cites W2473235403 @default.
• W3022382224 cites W2511261572 @default.
• W3022382224 cites W2571716168 @default.
• W3022382224 cites W2587571866 @default.
• W3022382224 cites W2604808360 @default.
• W3022382224 cites W2607076347 @default.
• W3022382224 cites W2779550985 @default.
• W3022382224 cites W2802269202 @default.
• W3022382224 cites W2905480919 @default.
• W3022382224 cites W2943683582 @default.
• W3022382224 cites W2949685357 @default.
• W3022382224 cites W2950452652 @default.
• W3022382224 cites W3104499332 @default.
• W3022382224 cites W4211017114 @default.
• W3022382224 cites W605677922 @default.
• W3022382224 doi "https://doi.org/10.7717/peerj.9065" @default.
• W3022382224 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7195839" @default.
• W3022382224 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32391205" @default.
• W3022382224 hasPublicationYear "2020" @default.
• W3022382224 type Work @default.
• W3022382224 sameAs 3022382224 @default.
• W3022382224 citedByCount "4" @default.
• W3022382224 countsByYear W30223822242022 @default.
• W3022382224 countsByYear W30223822242023 @default.
• W3022382224 crossrefType "journal-article" @default.
• W3022382224 hasAuthorship W3022382224A5011772368 @default.
• W3022382224 hasAuthorship W3022382224A5029757214 @default.
• W3022382224 hasAuthorship W3022382224A5039097797 @default.
• W3022382224 hasAuthorship W3022382224A5067931953 @default.
• W3022382224 hasBestOaLocation W30223822241 @default.

• next