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  1. Our Story | Golf Foundation of Missouri. In 2002, a gentleman named Gene Dann read an article about a junior golf program taking place in inner-city Milwaukee. Intrigued, he planned a trip to the north to learn more about the golf program—he was instantly inspired.

  2. Aug 15, 2021 · The Founder's Scholarship was founded in 2021 to honor The Golf Foundation of Missouri's Founders, Gene Dann, Charlie Rallo, Paul Wunderlich, and Dick Shaiper. Their vision was to "Instill life's lessons and values in St. Louis City youth through the game of golf" and that is what the foundation strives to do each summer.

    • 1 Introduction
    • 2 Methods
    • 3 Results and Discussion
    • Acknowledgement
    • Funding

    Identifying the genetic variants responsible for diseases can be very challenging. The majority of candidate variants lie in non-coding sections of the genome, whose role in maintaining normal genome function is not well understood. Most annotation methods can only annotate protein coding variants, excluding >98% of the human genome. Another annota...

    2.1 Model training

    DANN trains a DNN consisting of an input layer, a sigmoid function output layer, and three 1000-node hidden layers with hyperbolic tangent activation function. We use deepnet (https://github.com/nitishsrivastava/deepnet) to exploit fast Compute Unified Device Architecture (CUDA) parallelized GPU programming on an NVIDIA Tesla M2090 card and applied dropout and momentum training to minimize the cross entropy loss function. Dropout reduces over-fitting by randomly dropping nodes from the DNN (S...

    2.2 Features

    There are a total of 949 features defined for each variant. The feature set is sparse, and includes a mix of real valued numbers, integers, and binary values. For example, amino acid identities are only defined for coding variants. To account for this, we include Boolean features that indicate whether a given feature is undefined, and missing values are imputed. Moreover, all n-level categorical values, such as reference allele identity, are converted to n individual Boolean flags. See the Su...

    2.3 Training data

    CADD’s training data consist of 16 627 775 ‘observed’ variants and 49 407 057 ‘simulated’ variants. We trained all three models on this dataset to differentiate the simulated variants from the observed variants. To account for the imbalance between the two datasets, we randomly sampled 16 627 775 simulated variants for training. These 33 255 550 variants are split into a ‘training set’, a ‘validation set’ and a ‘testing set’ in an ∼ 8:1:1 ratio. The three models are trained on training set. F...

    We also generated ROC curves showing the models discriminating pathogenic mutations defined by the ClinVar database (Baker, 2012) from likely benign Exome Sequencing Project (ESP; Fu et al., 2013) alleles with a derived allele frequency (DAF) ≥5% (Fig. 1b, n= 10 000 pathogenic/10 000 likely benign). Coding variants constitute 85.6 and 43.0% of the ...

    The authors gratefully acknowledge Martin Kircher for helping us understand CADD and providing the datasets.

    National Institute of Biomedical Imaging and Bioengineering, National Research Service Award (EB009418) from the University of California, Irvine, Center for Complex Biological Systems (NIH R01HG006870). Conflict of interest:none declared.

    • Daniel Quang, Yifei Chen, Xiaohui Xie
    • 2015
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  4. Gene Dann. Art Department: Sleeping with the Enemy. Gene Dann is known for Sleeping with the Enemy (1991), American Gothic (1995) and Chasers (1994).

  5. www.imdb.com › name › nm0200342Gene Dann - IMDb

    Actor. Art Department. IMDbPro Starmeter See rank. Gene Dann is known for Sleeping with the Enemy (1991), American Gothic (1995) and Chasers (1994). Add photos, demo reels. Add to list. More at IMDbPro Contact info & Agent info.

    • Actor, Art Department
    • Gene Dann
  6. Mar 1, 2015 · Annotating genetic variants, especially non-coding variants, for the purpose of identifying pathogenic variants remains a challenge. Combined annotation-dependent depletion (CADD) is an algorithm designed to annotate both coding and non-coding variants, and has been shown to outperform other annotation algorithms.

  7. Feb 7, 2019 · Variants are predicted to be pathogenic by CADD (ranked CADD score >0.5) and DANN (ranked DANN score >0.5). The pathogenic thresholds for the rest computational methods are taken as suggested...

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