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Top 300 transcripts enriched in ADF, ADL, AFD, ASE, ASG, ASH, ASI, ASJ, ASK, AWA, AWB, AWC according to single cell RNAseq. |
Top 300 enriched transcripts were determined by log2.ratio of the tpm in the cell type vs the tpm in the other cells * the log2 of the cell.type tpm. |
WBPaper00061340:Ciliated_amphid_neuron
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Genes that showed lower expression level in ASER than in ASEL neuron by mRNA tagging. |
Intensities of spot features annotated as Bad or Not Found in the .gpr files were set to 1 to be removed from further analysis, and all of the six processed .gpr data were converted to .mev file with TIGR ExpressConverter ver. 1.7. The .mev files were processed with TIGR MIDAS ver. 2.19 with parameters set as follows: one bad channel tolerance policy as generous, with both of channel flag checked and background unchecked. The data were normalized by lowess normalization with default settings and with block and slide SD regularization. Authors then calculated log2(ASER/ASEL) ratios for each gene on the microarray. For the two pairs of dye-swapped repeats, authors calculated the mean log2(ASER/ASEL) of each repeat, so that up to four log2(ASER/ASEL) values per spot were obtained. Authors then calculated the percentile rank for each gene. Each gene spot detected more than once (18 847 spots) were subjected to MannWhitneys U test to assess whether its percentile rank values are significantly higher compared to the rest of the genes detected in the same experiments. Resulting significance levels are shown by P-values. From the P-values, false discovery rate (FDR) was further calculated by the Benjamini and Hochberg method. Statistical analyses were done by using R software version 2.9. |
WBPaper00035424:ASER_down
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Genes that showed higher expression level in ASER than in ASEL neuron by mRNA tagging. |
Intensities of spot features annotated as Bad or Not Found in the .gpr files were set to 1 to be removed from further analysis, and all of the six processed .gpr data were converted to .mev file with TIGR ExpressConverter ver. 1.7. The .mev files were processed with TIGR MIDAS ver. 2.19 with parameters set as follows: one bad channel tolerance policy as generous, with both of channel flag checked and background unchecked. The data were normalized by lowess normalization with default settings and with block and slide SD regularization. Authors then calculated log2(ASER/ASEL) ratios for each gene on the microarray. For the two pairs of dye-swapped repeats, authors calculated the mean log2(ASER/ASEL) of each repeat, so that up to four log2(ASER/ASEL) values per spot were obtained. Authors then calculated the percentile rank for each gene. Each gene spot detected more than once (18 847 spots) were subjected to MannWhitneys U test to assess whether its percentile rank values are significantly higher compared to the rest of the genes detected in the same experiments. Resulting significance levels are shown by P-values. From the P-values, false discovery rate (FDR) was further calculated by the Benjamini and Hochberg method. Statistical analyses were done by using R software version 2.9. |
WBPaper00035424:ASER_up
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Single-cell RNA-Seq cell group 121 expressed in: ASE. |
CellRanger, DecontX, Monocle3, Louvain algorithm. |
WBPaper00065623:121
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