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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1993 3
1994 2
1995 1
1996 4
1997 2
1998 3
1999 3
2000 3
2001 2
2002 2
2003 2
2004 3
2005 2
2006 4
2007 3
2008 2
2009 5
2010 7
2011 7
2012 6
2013 16
2014 15
2015 19
2016 17
2017 22
2018 36
2019 16
2020 34
2021 48
2022 42
2023 40
2024 30

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349 results

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Page 1
A non-canonical SWI/SNF complex is a synthetic lethal target in cancers driven by BAF complex perturbation.
Michel BC, D'Avino AR, Cassel SH, Mashtalir N, McKenzie ZM, McBride MJ, Valencia AM, Zhou Q, Bocker M, Soares LMM, Pan J, Remillard DI, Lareau CA, Zullow HJ, Fortoul N, Gray NS, Bradner JE, Chan HM, Kadoch C. Michel BC, et al. Nat Cell Biol. 2018 Dec;20(12):1410-1420. doi: 10.1038/s41556-018-0221-1. Epub 2018 Nov 5. Nat Cell Biol. 2018. PMID: 30397315 Free PMC article.
The effect of low magnitude mechanical stimulation (LMMS) on bone density in patients with Rett syndrome: a pilot and feasibility study.
Afzal SY, Wender AR, Jones MD, Fung EB, Pico EL. Afzal SY, et al. J Pediatr Rehabil Med. 2014;7(2):167-78. doi: 10.3233/PRM-140286. J Pediatr Rehabil Med. 2014. PMID: 25096869
PURPOSE: Low magnitude mechanical stimulation (LMMS) has been used successfully to promote bone formation in certain patient populations. This study evaluated the feasibility and effectiveness of LMMS on improving bone mineral density (BMD) in patients with Rett syn …
PURPOSE: Low magnitude mechanical stimulation (LMMS) has been used successfully to promote bone formation in certain patient populati …
The Long-Term Residual Effects of Low-Magnitude Mechanical Stimulation on Murine Femoral Mechanics.
Bodnyk KA, Kim DG, Pan X, Hart RT. Bodnyk KA, et al. J Biomech Eng. 2022 Apr 1;144(4):041010. doi: 10.1115/1.4053101. J Biomech Eng. 2022. PMID: 34817049
In this study, 10-week-old female BALB/cByJ mice were given LMMS (15 min/day, 5 days/week, 0.3 g, 90 Hz) for 8 weeks; SHAM did not receive LMMS. ...Finite element models of applied LMMS signal showed decreased stress in the mid-diaphyseal region at both 8-wee …
In this study, 10-week-old female BALB/cByJ mice were given LMMS (15 min/day, 5 days/week, 0.3 g, 90 Hz) for 8 weeks; SHAM did not re …
Penalized linear mixed models for structured genetic data.
Reisetter AC, Breheny P. Reisetter AC, et al. Genet Epidemiol. 2021 Jul;45(5):427-444. doi: 10.1002/gepi.22384. Epub 2021 May 16. Genet Epidemiol. 2021. PMID: 33998038 Review.
These methods correct for varying levels of relatedness and population structure by modeling it as a random effect with a covariance structure estimated from observed genetic data. Despite an extensive literature on penalized regression and LMMs separately, the two are rar …
These methods correct for varying levels of relatedness and population structure by modeling it as a random effect with a covariance structu …
Sixteen-Year Longitudinal Evaluation of Blood-Based DNA Methylation Biomarkers for Early Prediction of Alzheimer's Disease.
Schäfer Hackenhaar F, Josefsson M, Nordin Adolfsson A, Landfors M, Kauppi K, Porter T, Milicic L, Laws SM, Hultdin M, Adolfsson R, Degerman S, Pudas S; Australian Imaging Biomarkers and Lifestyle Study. Schäfer Hackenhaar F, et al. J Alzheimers Dis. 2023;94(4):1443-1464. doi: 10.3233/JAD-230039. J Alzheimers Dis. 2023. PMID: 37393498 Free PMC article. Review.
METHODS: EAA measures calculated from Illumina EPIC data from blood were tested with linear mixed-effects models (LMMs) in a longitudinal case-control sample (50 late-onset AD cases; 51 matched controls) with prospective data up to 16 years before clinical onset, and post- …
METHODS: EAA measures calculated from Illumina EPIC data from blood were tested with linear mixed-effects models (LMMs) in a longitud …
Subset selection for linear mixed models.
Kowal DR. Kowal DR. Biometrics. 2023 Sep;79(3):1853-1867. doi: 10.1111/biom.13707. Epub 2022 Jul 25. Biometrics. 2023. PMID: 35758839
Linear mixed models (LMMs) are instrumental for regression analysis with structured dependence, such as grouped, clustered, or multilevel data. ...We introduce a Bayesian decision analysis for subset selection with LMMs. Using a Mahalanobis loss function that incorp …
Linear mixed models (LMMs) are instrumental for regression analysis with structured dependence, such as grouped, clustered, or multil …
lme4GS: An R-Package for Genomic Selection.
Caamal-Pat D, Pérez-Rodríguez P, Crossa J, Velasco-Cruz C, Pérez-Elizalde S, Vázquez-Peña M. Caamal-Pat D, et al. Front Genet. 2021 Jun 18;12:680569. doi: 10.3389/fgene.2021.680569. eCollection 2021. Front Genet. 2021. PMID: 34220954 Free PMC article.
There are several statistical models that adequately approach the statistical challenges in GS, such as in linear mixed models (LMMs). An active area of research is the development of software for fitting LMMs mainly used to make genome-based predictions. ...This ar …
There are several statistical models that adequately approach the statistical challenges in GS, such as in linear mixed models (LMMs) …
349 results