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Title:           Challenges and opportunities in processing NanoString nCounter data
Subject:         Computational and Structural Biotechnology Journal, 23 (2024) 1951-1958. doi:10.1016/j.csbj.2024.04.061
Keywords:        NanoString,nSolver,mRNA,miRNA,nCounter,Background correction,Normalization,Differential expression
Author:          Jarosław Chilimoniuk
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      Title: Challenges and opportunities in processing NanoString nCounter data
      Destination: csbj2627.title.0:1
      Children: 
       Item: 
        Title: 1 Introduction
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         Item: 
          Title: 1.1 NanoString nCounter workflow
          Destination: csbj2627.subsection.1:3
         Item: 
          Title: 1.2 Detection and quantification of mRNA
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         Item: 
          Title: 1.3 Detection and quantification of miRNA
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         Item: 
          Title: 1.4 Prevalence of NanoString nCounter
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          Title: 1.5 Advantages and limitations
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        Title: 2 nCounter data processing
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        Children: 
         Item: 
          Title: 2.1 Sources of bias and noise in nCounter data
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         Item: 
          Title: 2.2 NanoString nSolver software for nCounter data processing
          Destination: csbj2627.subsection.2:12
         Item: 
          Title: 2.3 Data pre-processing
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         Item: 
          Title: 2.4 Quality control
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         Item: 
          Title: 2.5 Background correction
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         Item: 
          Title: 2.6 Normalization
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         Item: 
          Title: 2.7 Differential expression
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       Item: 
        Title: 3 Conclusions
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       Item: 
        Title: CRediT authorship contribution statement
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       Item: 
        Title: Declaration of competing interest
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       Item: 
        Title: Acknowledgements
        Destination: csbj2627.section.3:23
       Item: 
        Title: References
        Destination: csbj2627.section.3:24
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    Author: Jarosław Chilimoniuk
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    Keywords: NanoString,nSolver,mRNA,miRNA,nCounter,Background correction,Normalization,Differential expression
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   Type: CRC32
  Checksum: 8a1ad5009df7984842992c71f413a5b8
   Type: MD5
  Checksum: d24823b05fb60e59553288b1cfeea7473844e37b
   Type: SHA-1
  Checksum: 398332f7f0f6a7f6ab533e3ac8a1b69ef9ecef9e3ff307659dcb2bca42e69f61
   Type: SHA-256