_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_05_CPB_gene-annot/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_05_CPB_gene-annot/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_05_CPB_gene-annot/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_05_CPB_gene-annot/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_04_ortho-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_04_ortho-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_04_ortho-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_04_ortho-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_04_ortho-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_04_ortho-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_03_patentDB-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_03_patentDB-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_02_UlrichTop100-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_02_UlrichTop100-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_02_UlrichTop100-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_02_UlrichTop100-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_02_UlrichTop100-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_02_UlrichTop100-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_02_UlrichTop100-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_02_UlrichTop100-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_02_UlrichTop100-BLAST/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_01_LitData-dry/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_01_LitData-dry/

_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_01_LitData-dry/

dummy ifle fo rtesting file uplad and nbviewer

Summary of the PhD thesis by Joost W. Aerts Under the auspices of Rob J. van Spanning, Pascale Ehrenfreund and Hans V. Westerhoff

This file contains Violin plots for mitochondrial gene transcripts (%mtRNA), cardiac marker (Tnnt2), and pace-maker marker (Hcn4) for identified cell clusters in iSABS and sinoatrial node region (results obtained from a data reanalysis of Goodyer et al.).

This file contains several Scatter plots illustrating the correlation of %mtDNA and (a) Tnnt2 (b) Hcn4 (c) total number of gene transcripts per cell In Tnnt2 positive cells and (d) total number of gene transcripts per cell In Hcn4 positive cells.

DigiSal Metabolomics and Lipidomics Update

Conclusion:

• Organic acid test ok
• Next

1. Analyze all samples for OA (or selection? – include days and feed variation)
2. Then aminoacids?
3. Evaluate results – choose some samples for CapIC?

Data modelling methods that are capable of maintaining block structure, as for example the block structure of the blocks of lipid classes, are called multi-block methods e.g. Consensus Principal Component Analysis (CPCA) and Multi-block Partial Least Squares Regression (MBPLSR). CPCA and MBPLR are two large families of MB methods. The developed methods can still be transferred to other data analysis methods. CPCA and MBPLSR which are extensions of PCA and PLSR to multi-block data sets can be ...