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MeetingNotes.md

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2022

0501 Mon Meeting w/ Dr. Kreimer

  • Analyses
    • real motifs: overlapped WTs motifs: to be finished
    • nonmotifs: overlapped: to be finished; MPRA output.
  • Prediction: continue working on them

04.26 Tue Meeting w/ Dr. Kreimer

  • redo analyses:
    • F(all)=0 vs all, F(all)=1 vs all, between pertX
    • nGained and nLost comparision
    • overlapped WTs analyses
  • predictions: ask Justin for the scripts and start working on it!

04.22, Fri, Meeting w/ Dr. Li

  • manuscript:
    • Fig1: add arrows; remove dashed boxes; DM names
    • Fig2: QQ plot: gray x=y line; try -log10p; type I error as supplementary
    • remove subsubsections
  • check: under norm methods, gene variance changed?
  • check: variance vs cell number in denSNE manuscript

04.18 Mon Meeting w/ Dr. Li

  • manuscript
    • finish results (effect of norm method & effect of nFeatures)
    • schematic workflow

04.12 Tue Meeting w/ Dr. Kreimer

  • activators/repressors:
    • reverse the categorizing because log2FC = log2(WT/Pert).
    • tfbs_func: 1&2 activators, 3&4 repressors
  • read papers regarding MPRA and predictions

04.08, Fri, Meeting w/ Dr. Li

  • manuscript:
    • add toy examples for methods part
    • QQ plot for type I error
    • big picture: Best practices in differential variability analysis of single-cell gene expression data
  • check: under SCT, gene variance changed?
  • check: variance vs cell number in denSNE manuscript

04.05 Tue Meeting w/ Dr. Kreimer

  • activators/repressors: add "filter" (F1-F4) criterias
  • for pertX, wilcox test on:
    • positive
    • negative
    • overall
    • (also considering filters)
  • add n_gained vs n_lost to slides
  • discussion about joining the lab

04.01, Fri, Meeting w/ Dr. Li

  • manuscript:
    • focus on same cell number scenarios
    • add toy examples for methods part
    • big picture: evaluation
  • Check: under SCT, gene variance changed?
  • check: variance vs cell number in denSNE manuscript

03.29 Tue Meeting w/ Dr. Kreimer

  • For the perturbed/not perturbed motifs, check if they have overlapped/not overlapped identical motifs
  • what does each F mean?
  • what does Filt mean?
  • gained/lost motifs: activators or repressors?
  • delta $nMotif_{pert - WT}$ --> positive or negative?

03.25 Meeting w/ Dr. Li

  • should keep an eye on Type I Errors
  • Todo
    • Try different cell number scenario:
      • condition 1: 100cells/type
      • condition 2: 100-1000cells/type
    • Update manuscripts

03.24 Meeting w/ Dr. Kreimer

  • Fisher's test for subgroups?
    • crosstable, chi-square?
  • add raw numbers of motifs
  • Wilcox on F=0 motifs