1.0.Index.ipynb

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   "source": [
    "# AN S 655  \n",
    "## Computational Strategies for Statistical Genetics"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Instructor: \n",
    "\n",
    "* Rohan Fernando (rohan@iastate.edu)\n"
   ]
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    "\n",
    "\n",
    " ### Contents\n",
    " \n",
    " \n",
    "* **[Introduction](1.1.Intro.ipynb)**\n",
    "\n",
    "    *  [JWAS](JWAS/JWASIntro.ipynb) \n",
    "\n",
    "    * [Fast Track to Julia](https://juliadocs.github.io/Julia-Cheat-Sheet/)\n",
    "\n",
    "    * [Good Introduction to Julia](https://lectures.quantecon.org/jl/getting_started_julia/index.html)\n",
    "    \n",
    "    * [Some Julia Examples](Julia/FastTrackNoteBook.ipynb)\n",
    "    \n",
    "* **[Algorithm to Invert Additive Relationship Matrix](Ainverse/2.1.Ainverse.ipynb)**   \n",
    "\n",
    "    * [Exercise 1](AInverse/2.Ex1.ipynb)\n",
    "    \n",
    "    * [Exercise 2](AInverse/2.Ex2.ipynb)\n",
    "    \n",
    "    * [Pedigree Module of JWAS](AInverse/2.Ex3.ipynb)\n",
    "    \n",
    "* **Algorithms to Construct and Solve Henderson's Mixed Model Equations (MME)**    \n",
    "\n",
    "   * [Normal Equations](MME/3.1.NormalEquations.ipynb)\n",
    "   \n",
    "   * [Iterative Methods](MME/3.3.IterativeMethods.ipynb)\n",
    "   \n",
    "   * [Design Matrix from String Representation of Model and Data](MME/3.6.DesignMatrix.ipynb)\n",
    "   \n",
    "   * [MME from Higher-Level Model Description](MME/3.7.0.BuildMME.ipynb)\n",
    "   \n",
    "* **Bayesian Inference of Fixed and Random Effects in Mixed Linear Model**\n",
    "\n",
    "    * [Gibbs Sampler](Gibbs/4.1.Gibbs.ipynb)\n",
    "   \n",
    "    \n"
   ]
  }
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