Integrated with quantitative pathology solutions, Flagship offers innovative single and multivariate data analysis in pathology and related disciplines. These are custom bioinformatics projects, that may be part of IHC or other tissue-based analysis. Our bioinformaticians have domain expertise in pharmaceutical areas as well as advanced degrees in bioinformatics related fields. We also perform a large number of standard biostatistics services for IND and NDA enabling studies.
General statistical approaches
- Determining of study size, power analysis, sequential studies
- Parametric Methods — single and multiple ANOVA
- Parametric Methods — single and multiple regression
- Parametric and semiparametric longitudinal data analysis
- Various non-parametric based tests using rank tests and rank correlation
- Contingency tables, logistic models, and Poisson regression models
- Categorical data analysis (Odds ratio, logistic regression)
- Kaplan-Meier survival curves
- Monte Carlo simulation and related bootstrap techniques
- Bootstrap, permutation tests, Monte-Carlo simulation
- Time-series analysis of biosignals (Fourier, Powerspectra, Transferfunction)
- Disease Modeling (Markov chains, trees etc
Commonly used biomarker statistical analyses
- RT-PCR and Genechip data analysis
- Cut-point evaluation (IHC or IF, single or multiple)
Multivariate/multidimensional methods
- Principal Component Analysis
- Factor analysis and factor rotation
- Linear discriminate analysis
- Support Vector Machines
- Self-organizing Map Visualization (in-house developed method)
- Decision Trees – CART