Data analytics as a service
                      
                     
                   
                  
                    
                      In depth analysis of your life- and medical science project results
                      
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                          Molecular biology data, microarray or sequencing project. Data normalization, differential gene expression, enrichement/perturbarion analysis: GO, transcription factor and signaling pathways
                        
 
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                          Descriptive statistics, hypothesis testing
                        
 
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                          Predictive modeling: linear models, generalized linear models. Model QC
                        
 
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                          Survival analysis
                        
 
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                          Data clustering, principal component analysis and multi-dimensional scaling
                        
 
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                          Machine learning
                        
 
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                          Sample size estimation
                        
 
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                          Data mining: articles, databases and repositories (NCBI, GEO, ArrayExpress, GDI, GitHub, Dryad)
                        
 
                      
                     
                   
                 
               
             
           
         
        
          
            
              
                
                  
                  
                    
                      Development of analysis and reporting pipelines with R
                      
                        - Development of customized data analysis pipelines in R/tidyverse for your clinical or pre-clinical project
 
                        - Astonishing visualizations with ggplot, grid and plotly
 
                        - Reporting via Rmarkdown: html, pdf, Word file or a presentation
 
                        - Shiny application development
 
                        - Development and sharing of R based tools (visit me at GitHub!)
                        
 
                      
                     
                   
                 
               
             
           
         
        
          
            
              
                
                  
                  
                    
                      Manuscript and scientific graphic services
                      
                        - Preparation of study protocols and documents (ethic board applications and reports)
 
                        - Writing of manuscripts and grant applications
 
                        - Plotting and editing graphics
 
                        - Complete services: from study protocol to result publication
 
                      
                     
                   
                 
               
             
           
         
        
          
            
              
                
                  
                  
                    
                      Design, consultacy and training
                      
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                          Statistically guided study and experiment design
                        
 
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                          Implementation of new data analysi methods at your study center
                        
 
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                          Training of the staff: statistical programming with R and Python, general statistics classess
                        
 
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                          Development of project-specific tools: web-based applications and dashboards, R and Python scripts/executables
                        
 
                      
                     
                   
                 
               
             
           
         
        
          
            
              
                
                  
                  
                    
                      Development of analysis and reporting pipelines with R
                      
                        - Development of customized data analysis pipelines in R/tidyverse for your clinical or pre-clinical project
 
                        - Astonishing visualizations with ggplot, grid and plotly
 
                        - Reporting via Rmarkdown: html, pdf, Word file or a presentation
 
                        - Shiny application development
 
                        - Development and sharing of R based tools (visit me at GitHub!)
                        
 
                      
                     
                   
                 
               
             
           
         
       
      
        
          
        
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