1

Data Quality Analysis.

Frequentist statistical analysis.

Data adquisition. Fetching web data. Data structure. Data formating. Managing bad data. Missing data. Outliers. Managing subtle sources of bias and error. Frequentist statistical analysis. Linear models. Generalized linear mixed-models. Non-linear models. Time series models.

 

 

2

Pharmacokinetics.

Bayesian inference analysis. Support vector machine. Neural networks.

 

 

 

 

 

3

Microarray data analysis. Pharmacogenetics.

Phylogenetics.

Gene expression, SNPs, exon sequencing, and ChIPseq.

GSEA analysis. Prediction of functional effects of human SNPs. Phage and bacterial DNA sequence analysis. Clustering dendrograms. Principal component analysis.

 

 

4

Next-generation sequencing analysis.

Single nucleotide variant calling (SNV), copy number variation (CNVs) detection, and bisulfite-seq (BS-seq) data analysis.

5

Infographics & Data visualization.

Google vis. Circos. Arch diagram. Data Traceability. Geo location. Shiny apps.

 

 

 

 

 

 

6

Predicting protein function.

Metabolic network modelling.  Protein topology analysis.

 

Metabolomics

Interactant networks.  Characterization of organic chemical compounds and routes of synthesis. Fine chemical synthesis.

 

7

Systematic reviews. Pharmacoeconomics.

Meta-analysis. Network meta-analysis. Monte-Carlo simulations. Hidden-Markov Models. ICER analysis. ROC curves.

 

 

 

 

 

8

Text mining.

Term enrichment. Sentiment analysis. Word cloud maps.

Literature mining. Sentiment classification. Polarized Language. Corpus Creation.

MinerĂ­a de Datos Soluciones  para la Ciencia , S.L.