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      <title>Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk</title>
      <link>https://SteveSemick.github.io/publication/rn-175/</link>
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      <title>The peroxisome proliferator-activated receptor gamma (PPARγ) agonist, rosiglitazone, ameliorates neurofunctional and neuroinflammatory abnormalities in a rat model of Gulf War Illness</title>
      <link>https://SteveSemick.github.io/publication/rn-158/</link>
      <pubDate>Sat, 14 Nov 2020 00:00:00 +0000</pubDate>
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      <title>SeqAcademy: an educational pipeline for RNA-Seq and ChIP-Seq analysis</title>
      <link>https://SteveSemick.github.io/publication/rn-142/</link>
      <pubDate>Tue, 29 Sep 2020 00:00:00 +0000</pubDate>
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      <title>Dissecting transcriptomic signatures of neuronal differentiation and maturation using iPSCs</title>
      <link>https://SteveSemick.github.io/publication/rn-130/</link>
      <pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
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      <title>Genome-wide DNA methylation differences in nucleus accumbens of smokers vs. nonsmokers</title>
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      <pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
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      <title>Schizophrenia risk variants influence multiple classes of transcripts of sorting nexin 19 (SNX19)</title>
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      <pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
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      <title>Strategies for cellular deconvolution in human brain RNA sequencing data</title>
      <link>https://SteveSemick.github.io/publication/rn-137/</link>
      <pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
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      <title>Integrated DNA methylation and gene expression profiling across multiple brain regions implicate novel genes in Alzheimer&#39;s disease</title>
      <link>https://SteveSemick.github.io/publication/rn-133/</link>
      <pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
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      <title>Regional Heterogeneity in Gene Expression, Regulation, and Coherence in the Frontal Cortex and Hippocampus across Development and Schizophrenia</title>
      <link>https://SteveSemick.github.io/publication/rn-129/</link>
      <pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
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      <title>Introduction to Scraping and Wrangling Tables from Research Articles</title>
      <link>https://SteveSemick.github.io/post/rstats-blogpost-2019/</link>
      <pubDate>Tue, 20 Mar 2018 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;What do you do when you want to use results from the literature to anchor your own analysis? When these results are in the form of an easily accessible table, such as a .csv file or .xlsx file, then it is simple enough to download them and incorporate them into your research. Often times, however, published findings are not so easy to handle. Today, we’ll go through a practical scenario on scraping an html table from a Nature Genetics article into R and wrangling the data into a useful format&amp;hellip;&lt;/p&gt;
&lt;p&gt;&lt;a href=&#34;https://www.r-bloggers.com/2018/03/introduction-to-scraping-and-wrangling-tables-from-research-articles/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Click for the full post on R-bloggers&lt;/a&gt;&lt;/p&gt;
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      <title>Developmental effects of maternal smoking during pregnancy on the human frontal cortex transcriptome</title>
      <link>https://SteveSemick.github.io/publication/rn-131/</link>
      <pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate>
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