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Alar

Alar Aab

Recently Published

Plot - ENSG00000211772
T-CELL RECEPTOR BETA CHAIN CONSTANT REGION 2; TRBC2 is the proof that some samples are contaminated with blood cells
Plot - PRSS1
Plot - COL1A2
Plot - SLC22A16
Plot - DDX3Y
Plot - HLA-DQB1
Plot - VCAM1
Plot - COL5A1
Plot - UTY
Plot - USP9Y
Plot - NNMT
Plot - ENSG00000110347
matrix metallopeptidase 12 (macrophage elastase)
Plot - ENSG00000213318
very interesting - Chr16, but RNA is up only in males for women - Produced only during pregnancy and is involved in stimulating lactation, fetal growth and metabolism. Does not interact with GHR but only activates PRLR through zinc-induced dimerization. Protein Chorionic somatomammotropin hormone 2 Gene CSH2
Plot - EIF1AY
Plot - OLFM4
Plot - KDM5D
Plot - NonChr1_22_X_Y. Gene expression of all genes
Plot - Chr1_22_X_Y. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr1_22_X_Y. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - NonChr1_22_X_Y. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - NonChr1_22_X_Y. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr22. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr22. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr21. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr20. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr20. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr19. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr19. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr18. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr18. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr17. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr17. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr16. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr16. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr15. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr15. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr14. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr14. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr13. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr13. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr12. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr12. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr11. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr11. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr10. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr10. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr9. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr9. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr8. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr8. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr7. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr7. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr6. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr6. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr5. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr5. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr4. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr4. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr3. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - Chr3. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr2. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot Chr2. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr1. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Plot - Chr1. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot - NonChr1_22_X_Y. Gene expression of variable genes (factor >= 0.2 (max-min/median) and median > 50)
Plot NonChr1_22_X_Y. Gene expression of similar genes (factor =< 0.2 (max-min/median) and median > 50)
Difference from subgroup median value
I removed genes which have less than 50 reads in every subgroup MoreThan<-2.5 LessThan<-0.1
Difference from subgroup median value
I removed genes which have less than 10 reads in every subgroup EOS_values1<-EOS_values[rowSums(EOS_values)>50|rowSums(NONEOS_values)>50|rowSums(CON_values)>10,] NONEOS_values1<-NONEOS_values[rowSums(EOS_values)>10|rowSums(NONEOS_values)>10|rowSums(CON_values)>10,] CON_values1<-CON_values[rowSums(EOS_values)>50|rowSums(NONEOS_values)>10|rowSums(CON_values)>10,]
Difference from subgroup median value
I removed genes which have less than 20 reads in every subgroup EOS_values1<-EOS_values[rowSums(EOS_values)>20|rowSums(NONEOS_values)>20|rowSums(CON_values)>20,] NONEOS_values1<-NONEOS_values[rowSums(EOS_values)>20|rowSums(NONEOS_values)>20|rowSums(CON_values)>20,]
Difference from subgroup median value
I removed genes which have less than 50 reads in every subgroup EOS_values1<-EOS_values[rowSums(EOS_values)>50|rowSums(NONEOS_values)>50|rowSums(CON_values)>50,] NONEOS_values1<-NONEOS_values[rowSums(EOS_values)>50|rowSums(NONEOS_values)>50|rowSums(CON_values)>50,] CON_values1<-CON_values[rowSums(EOS_values)>50|rowSums(NONEOS_values)>50|rowSums(CON_values)>50,]
Plot
Just learning