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BCAL Projects

  1. LipidSearch Assignment Data Normalization Algorithm:
    • Write necessary feature selection functions:
      • gen_anova_feat function
      • gen_sd_log_feat_by_batch function
      • gen_feat_frac_estimates
      • gen_sample_norm_values
    • Basic Augmented Batches Normalization Testing
      • 90% 0-Feature Filter Matrix
      • Log Intensity Non-Differentiable ANOVA Feature Selection
      • Log Intensity Low SD Feature Selection
          • SD 10% Quantile
          • SD 20% Quantile
      • Intersecting Features Selection and Normalization
      • Random Forests Classification and Prediction with Redo-80 of Reprep-70
    • Heirarchical Clustered Batches Normalization Testing
      • Samples' Augmented Correlations Reordering
      • gen_batch_hclust function

-- JonathanSudkamp - 08 Mar 2017
Topic revision: r2 - 06 Feb 2018, HunterMoseley
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