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