Prognostic Impact of Phenotypic and Genetic Features of Pancreatic Malignancies by Mikhail B. Potievskiy, Lidia A. Nekrasova, Ivan V. Korobov, Ekaterina A. Bykova, Ruslan I. Moshurov, Pavel V. Sokolov, Peter A. Shatalov, Natalia A. Falaleeva, Leonid O. Petrov, Vladimir S. Trifanov, Sergey A. Ivanov, Peter V. Shegai, Andrei D. Kaprin

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Genetic risks of addictive disorders in adolescents: phenotypic effects by A. N. Yakovlev, N. V. Pashkevich, V. I. Vitchinkina

“…In several unrelated small samples examined correlation between genetic risk of chemical dependence, calculated on the basis of the contribution of geomarkers dopamine system, and phenotype of adolescents 14-17 years of age, not suffering from addiction. …”
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Behavioral discrimination and time-series phenotyping of birdsong performance. by Avishek Paul, Helen McLendon, Veronica Rally, Jon T Sakata, Sarah C Woolley

“…Moreover, the algorithm accurately predicted female performance on individual motif exemplars. …”
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Image-based temporal profiling of autophagy-related phenotypes by Nitin Sai Beesabathuni, Neil Alvin B. Adia, Eshan Thilakaratne, Ritika Gangaraju, Priya S. Shah

“…Additionally, temporal morphological profiles accurately predicted biologically relevant changes in autophagy after perturbation, such as total cargo degraded. …”
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Exploring voice as a digital phenotype in adults with ADHD by Georg G. von Polier, Eike Ahlers, Julia Volkening, Jörg Langner, Kaustubh R. Patil, Simon B. Eickhoff, Florian Helmhold, Agnieszka Ewa Krautz, Daina Langner

“…In summary, prosodic features seem to be promising candidates for further research into voice-based digital phenotypes of ADHD.…”
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Phenotypic mutation rates and the abundance of abnormal proteins in yeast. by Martin Willensdorfer, Reinhard Bürger, Martin A Nowak

“…For S. cerevisiae, we predict that the value for the phenotypic mutation rate is between 2 x 10(-4) and 6 x 10(-4).…”
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Epistatic interaction maps relative to multiple metabolic phenotypes. by Evan S Snitkin, Daniel Segrè

“…Our predictions indicate a pervasiveness of nonlinear effects in how genetic perturbations affect multiple metabolic phenotypes. …”
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Broadening the <i>PHIP</i>-Associated Neurodevelopmental Phenotype by Giulia Pascolini, Giovanni Luca Scaglione, Balasubramanian Chandramouli, Daniele Castiglia, Giovanni Di Zenzo, Biagio Didona

“…Case Description: We evaluated a child presenting with DD/ID and a craniofacial phenotype reminiscent of a Pitt–Hopkins syndrome (PTHS)-like condition. …”
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Predictive control of musculotendon loads across fast and slow-twitch muscles in a simulated system with parallel actuation by Mahdi Nabipour, Gregory S. Sawicki, Massimo Sartori

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Preoperative Prediction of a Rare and Highly Aggressive Subtype of Hepatocellular Carcinoma Based on Multimodal Imaging and Clinical Indicators by Chen K, Zhu Y, Liu H, Deng M, Kong W, Wang W

“…DPHCC patients had significantly lower RFS than non-DPHCC patients (P = 0.037).Conclusion: A nomogram was established for non-invasive prediction of DPHCC risk utilizing multimodal imaging combined with clinical indicators to help achieve personalized treatment.Keywords: dual-phenotype hepatocellular carcinoma, hepatocellular carcinoma, contrast enhanced magnetic resonance imaging, contrast enhanced ultrasound, combined model, nomogram…”
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The Genome Era of Forage Selection: Current Status and Future Directions for Perennial Ryegrass Breeding and Evaluation by Jiashuai Zhu, Kevin F. Smith, Noel O. Cogan, Khageswor Giri, Joe L. Jacobs

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Development and Evaluation of a Computable Phenotype for Normal Tension Glaucoma by Fountane Chan, MD, Wei-Chun Lin, MD, PhD, Alan Tang, Benjamin Y. Xu, MD, PhD, Sophia Y. Wang, MD, MS, Michael V. Boland, MD, PhD, Catherine Q. Sun, MD, Sally Baxter, MD, MSc, Brian Stagg, MD, MS, Michelle Hribar, PhD, Aiyin Chen, MD

“…Phenotypes 2 to 4 increase NTG case detection fourfold compared with phenotype 1. …”
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Treatment effects of Xuebijing injection in patients with sepsis by clinical phenotype: a post hoc analysis of the EXIT-SEP trialResearch in context by Xiran Lou, Hui Chen, Nan Shi, Ruixuan Yu, Songli Li, Yi Yang, Songqiao Liu, Jianfeng Xie, Haibo Qiu

“…Finally, a parsimonious classifier model demonstrated good accuracy in phenotype prediction, with AUROCs of 0.937 (95% CI: 0.916–0.957) for α, 0.893 (0.861–0.924) for β, 0.945 (0.927–0.964) for γ, and 0.900 (0.866–0.935) for δ in the internal validation cohort. …”
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Genome-wide iterative fine-mapping for non-Gaussian phenotypes by Shuangshuang Xu, Jacob Williams, Allison Tegge, Marco A. R. Ferreira

“…Abstract Fine-mapping seeks to identify causal variants associated to a phenotype of interest. Fine-mapping searches through genomic regions previously identified by single marker analysis of genome-wide association studies (GWAS) data. …”
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Can phenotypic methods accurately identify carbapenemase production in Morganellaceae? by Çisem Karaoğlu, Betül Ceyhuni, Zeynep Ceren Karahan, Iştar Dolapçı

“…Sensitivity, specificity and positive predictive value of CM were 100%, 0%, and 46%, respectively. …”
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Neutrophil phenotypes quantify tissue damage caused by major surgery by Emma J. de Fraiture, Ted Reniers, Ted Reniers, Nathalie E. W. Vreeman, Thijs C. D. Rettig, Hjalmar C. van Santvoort, Angela Bikker, Nienke Vrisekoop, Nienke Vrisekoop, Leo Koenderman, Leo Koenderman, Falco Hietbrink, Peter G. Noordzij, Peter G. Noordzij

“…Neutrophil phenotyping could serve as a valuable biomarker for patient stratification and management, although larger cohort studies are needed to confirm its predictive value for postoperative complications.…”
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Genetic and phenotypic associations of frailty with cardiovascular indicators and behavioral characteristics by Yihan Chen, Siying Lin, Shuangyu Yang, Mengling Qi, Yu Ren, Chong Tian, Shitian Wang, Yuedong Yang, Jianzhao Gao, Huiying Zhao

“…Objectives: This study is designed to investigate the genetic and phenotypic associations of frailty with CIs and BCs, and further to construct a model to predict FI. …”
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Individual bacteria in structured environments rely on phenotypic resistance to phage. by Erin L Attrill, Rory Claydon, Urszula Łapińska, Mario Recker, Sean Meaden, Aidan T Brown, Edze R Westra, Sarah V Harding, Stefano Pagliara

“…We find that in these transient spatial refuges, phenotypic resistance due to reduced expression of the phage receptor is a key determinant of bacterial survival. …”
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Clustering phenotype populations by genome‐wide RNAi and multiparametric imaging by Florian Fuchs, Gregoire Pau, Dominique Kranz, Oleg Sklyar, Christoph Budjan, Sandra Steinbrink, Thomas Horn, Angelika Pedal, Wolfgang Huber, Michael Boutros

“…One of the current challenges however is the computational categorization of visual phenotypes and the prediction of biological function and processes. …”
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Resilience phenotypes derived from an active inference account of allostasis by Laura A. Harrison, Antonio J. Gracias, Karl J. Friston, Karl J. Friston, J. Galen Buckwalter

“…Biological regulatory outcomes range from allostatic (over)load in the fragile and durable phenotypes, to allostatic recovery in resilience, and theoretically to increasing allostatic accommodation or “growth” in the proposed PE phenotype. …”
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