In this section, both of the Bayesian and heuristic feature selection methods are quickly reviewed, and experimental evaluation results are presented.
HTS methods are quickly becoming feasible for highly accurate characterization of the transcriptome profile of tumors.
Hybrid-capture methods are quickly scalable and have achieved high levels of uniformity in whole-exome sequencing (WES) [ 23], while circularization-based methods can provide increased sensitivity and specificity for variant detection in candidate gene resequencing compared to WES [ 14].
His reprogramming methods were quickly replicated by other scientists and are now widely used around the world.
With the introduction of an OSCS standard, NMR, HPLC, and CE methods were quickly developed to screen heparin lots in order to prevent further exposure of patients to contaminated heparin [ 31].
With the ongoing sequencing of a large number of vertebrate genomes [ 16], the power of these methods is quickly improving and, coupled with algorithmic improvements [ 17], they are now able to detect very short regions under selection, or regions under weak selection.
The MGIT 960 method was quickly taken up by the staff and successfully introduced into practice in an escalating manner from primary culture to DST.
The potential value of the "best fit" method was quickly recognised, especially for qualitative evidence synthesis to address "policy-urgent" questions [ 3, 6, 7].
During team meetings, the "card sorting" method was quickly adopted by professionals as a tool to assist with discussion beyond the context of the study.
After its causative agent, SARS-associated coronavirus (SARS-CoV), was confirmed, laboratory methods, including virus isolation, reverse transcriptase polymerase chain reaction (RT-PCR), and serologic methods, have been quickly developed.
The advantages of a multi-lab collaboration are that methods can be quickly validated, facilitating availability, and that tests are evaluated in different laboratory settings, assessing robustness.
