A likelihood method for estimating present-day human contamination in ancient male samples using low-depth X-chromosome data.
José Víctor Moreno-MayarThorfinn Sand KorneliussenJyoti DalalGabriel RenaudAnders AlbrechtsenRasmus NielsenAnna-Sapfo MalaspinasPublished in: Bioinform. (2020)
Keyphrases
- synthetic data
- data sets
- input data
- test data
- training samples
- preprocessing
- sampling methods
- information loss
- sample set
- significant improvement
- prior information
- genetic algorithm
- noisy data
- missing data
- missing values
- data analysis
- prior knowledge
- data samples
- data structure
- random samples
- detection method
- depth data
- high quality
- human experts
- database
- high dimensional data
- clustering method
- data collection
- probabilistic model
- statistically significant
- depth map
- human subjects
- model selection
- data mining
- estimation process
- training set
- spectral data
- human knowledge
- bayesian networks
- sample space