Searching journal content for articles similar to Lowe and Reddy 25 (10): 1432.

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  1. ...a major genetic challenge. Traditional statistical methods (such as GBLUP and BayesR) have limitations, including reliance on artificial prior assumptions, and hard to capture epistatic effects. Machine learning (ML) has emerged as a powerful alternative for genomic prediction; however, it often struggles...
  2. ...) spRefine as a pretraining framework for representing phenotype information. spRefine is capable of performing survival prediction, identifying spot-level phenotype information, and predicting disease states. spRefine imputes and denoises ST data Genome Research 3 www..org commonly used tools...
  3. ...provides novel insights into the genomic regulatory landscape underlying antiviral 33 immunity in a farmed fish with a complex . 34 Introduction 35 The innate immune response to viral infection, which is mainly based on the type I interferon 36 (type I IFN) pathway is crucial to both disease progression...
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  4. ...Ruhollah Shemirani1, Gillian M. Belbin1,9, Sinead Cullina1,2, Christa Caggiano1, Christopher R. Gignoux3,4, Noah Zaitlen5,6,7 and Eimear E. Kenny1,2,8 1Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA; 2Department of Genetics and Genomic Sciences...
  5. ...health outcomes are limited. To overcome this challenge, we introduce a novel framework, Predictive Risk modeling using Mendelian Randomization (PRiMeR), which utilizes genetic effects as supervisory signals to learn disease risk predictors without relying on longitudinal data. To do so, PRiMeR leverages...
  6. ...Cell type–specific gene regulatory atlas prioritizes drug targets and repurposable medicines in Alzheimer's disease Yunxiao Ren1,2, Ming Hu3,4, Yang E. Li5, Andrew A. Pieper6,7,8,9,10,11, Jeffrey Cummings12 and Feixiong Cheng1,2,4,13 1Cleveland Clinic Genome Center, Cleveland Clinic Research...
  7. ...Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; 3State Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy...
  8. ...in PD (Hindle 2010; Reeve et al. 2014; Collier et al. 2017). In addition, genetic susceptibility and environmental exposures are believed to interact with age-related cellular decline to influence disease onset and progression (Pang et al. 2019). Despite aging being the greatest risk factor...
  9. ...and enabling the exploration of the diversity from complex genomic regions (Miga and Wang 2021). This is particularly valuable for detecting links between genetic markers and diseases, facilitating the genetic study of more prevalent pathologies in different populations. Combining long-read sequencing...
  10. ...The paradox of R-loops: guardians of the or drivers of disease? Shachinthaka D. Dissanayaka Mudiyanselage1,2, Phillip Wulfridge1,2 and Kavitha Sarma1,2 1The Wistar Institute, Philadelphia, Pennsylvania 19104, USA; 2Epigenetics Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104...
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