The phrase "approaches on data" is not correct in written English.
It is unclear and does not convey a specific meaning.
Example: "The researchers presented various approaches on data analysis during the conference."
Alternatives: "approaches to data" or "methods for data".
Here, we formulate and test FDA approaches on data from two different real networks, the gap gene system of Drosophila melanogaster [ 7, 8] and the synthetic IRMA network [ 29], and on simulated data generated by the GeneNetWeaver program [ 30].
Methodology: The evaluation was based on two approaches on data collection: An analysis (Desk Research) of documents available in official statistics, research and activity reports (provided by the NAA and other Romanian organizations), in legal documents, official releases, web pages, etc.
We evaluated our approach on data from only one mass gathering.
In particular, we see the following next steps to investigate some of the aspects not addressed in this work: We evaluated our approach on data from only one mass gathering.
Additionally, the execution complexity of the proposals impact their ability to scale their approach on data centres with thousands of nodes.
The authors present the results of their approach on data captured in different settings (tropical rain forest, temperate forest and heathland) and show that high classification accuracy can be achieved for a variety of species.
We examine this approach on data from the Center for Medicare and Medicaid Services Hospital Quality Initiative, and generate an intrinsic low-dimensional organization of the hospitals that is smooth with respect to an expert driven function of quality.
Using an animal-model approach on data from a pedigreed population of over 7,000 collared flycatchers (Ficedula albicollis), we estimate the intersexual genetic correlation in Lifetime Reproductive Success (LRS) in a natural population to be negative in sign (−0.85±0.6).
We show the effectiveness of our approach on data simulated from HapMap genotypes over a wide variety of conditions, where the set of true causal markers are known.
We first evaluated the efficiency of the LP approach on data with a similar structure and magnitude to BLAST comparisons of genomes.
