The phrase "assumption free" is not standard in written English and may be considered incorrect.
It can be used in contexts where you want to describe something that is free from assumptions or preconceived notions, but it is more common to use "assumption-free" with a hyphen.
Example: "The study was conducted in an assumption-free environment to ensure unbiased results."
Alternatives: "free of assumptions" or "without assumptions".
However, this assumption (free virus in steady-state) could only be applied if the decay rate of virus k3 is much larger than the decay rate of the infected cell population k2 [ 20].
In order to develop an assumption free approach to the functional annotation of the Pa genome we have recently developed a new screening approach, termed Rapid Virulence Annotation or RVA [ 55].
This broad, assumption free, screen of Pa virulence factors supports the concept that Photorhabdus virulence factors are as effective against invertebrates as they are against vertebrate cell lines such as macrophages.
Even though molecular dating methods have been criticised in relation to interpretations of TRF origins [ 12] and are not assumption free, such approaches have played important roles in understanding the construction of other species rich biomes (for example, the Cape flora [ 61, 62]) and provide important insights when the fossil record is sparse or incomplete.
Crucially, under some simplifying assumptions, free energy corresponds to prediction error.
The number (approximately 20 out of 60) and the assumptions (free mixing in the cell and equivalent synthesis per genome) are discussed in the manuscript.
Tree-based models belong to common, assumption-free methods of data analysis.
Multidimensional relaxation-diffusion correlation (REDCO NMRR is an assumption-free method that measures how water is distributed within materials.
The artificial neural networks (ANN) approach is proposed for training-predicting the database in this paper since it is a more flexible and assumption-free methodology.
Assumption-free first-principles molecular-structure search for data generation in combination with dimensionality reduction and clustering for data analysis provide a powerful tool box to study structure formation trends.
To inspect the actual shape of the BOLD response in both ROIs, we extracted the time course for each ROI and condition based on a shape-assumption-free finite-impulse-response (FIR) model.
