NETWORK AND SYSTEMS BIOLOGY
BIOSTATISTICS
EXPERIMENTAL DESIGN
BIOINFORMATICS
MACHINE LEARNING
NETWORK AND SYSTEMS BIOLOGY
- Pathway enrichment
- Functional annotation of experimental results
- Data integration from omics platforms
- Text mining
- Complexity estimation
- Causative inference
- Network construction and annotation
BIOSTATISTICS
- Exploratory analysis and visualization
- Differential expression
- Adjustment for multiple testing
- Survival and other endpoints analysis
- Diagnostic test performance
- Meta-analysis and real world data
EXPERIMENTAL DESIGN
- Sample size and power analysis
- Validation cohorts
- Diagnostic test development
- Companion diagnostics
- Adaptive trial design
BIOINFORMATICS
- Data management, logistics
- Genome assembly
- Transcript quantification
- Single cell analysis
- Variant calling
- Genotype imputation
- Phylogenetic analysis
MACHINE LEARNING
- Multivariate models: creation and validation
- Molecular subtype discovery
- Biomarker discovery and validation, ReMARK, IVDMIA compliance etc.
- Functional impact of sequence variants
- Time series and forecasting