As haematogenous dissemination of tumour cells is the main mechanism for distant metastasis, the assessment of cancer patients' blood may be a highly desirable approach for detecting systemic tumour cell spreading (Pantel et al, 1999).
Since it is usually more difficult to detect DEGs with low expression level for RNA-seq data [ 14], it is desirable to find powerful statistical tests for detecting low expression DEGs.
It is therefore desirable that there are defined clinical algorithms for detecting the characteristic clinical signs of FAP, ideally within a multidisciplinary setting in which patients are entered on an FAP register.
So it is desirable to design a procedure that is efficient for detecting a range of future expected but unknown mean shifts.
Although several promising methods are available, the relevant issues of study design and data analysis for detecting interactions including sample size for a desirable power and the efficiency of statistical methods have not been well explored.
Deciphering the knowledge of HIV protease specificity and developing computational tools for detecting its cleavage sites in protein polypeptide chain are very desirable for designing efficient and specific chemical inhibitors to prevent acquired immunodeficiency syndrome.
Therefore, having a tool for detecting novel splicing events directly from RNA-seq data is desirable.
A facile and efficient method for detecting site-specific serine phosphorylation in proteins is therefore highly desirable for both in vitro and in vivo applications.
Regardless of the best "screening" test for detecting C. pneumoniae DNA in PBMC, additional methods of confirming the identification of C. pneumoniae are desirable [ 42].
