Sentence examples for marker for classifying from inspiring English sources

E-cadherin expression may be a useful prognostic marker for classifying subgroups of TNBC.

18 Galectin-3 is the most extensively investigated marker for classifying indeterminate thyroid nodules, with a reported accuracy of 82.96% in 27 studies using preoperative FNA material.

Some of the major intervarietal SNPs may serve as genetic markers for classifying subspecies when appropriately developed as simple genotyping assays.

Especially, there have been significant research efforts to identify differentially expressed genes across different phenotypes [5] [9], which can be used as diagnostic markers for classifying the disease states or predicting the outcome of medical treatments [1] [4], [10] [12].

We anticipate a simple, fast, and quantitative MMIHC platform will be broadly applicable to clinical diagnosis, identification of novel markers for classifying solid tumors, the selection of optimal biomarkers, development and screening of IHC antibodies, biological pathway studies and establishment of optimal IHC conditions (e.g., antibody concentration and incubation time) in various cancers.

CRC cohort studies have identified markers for classifying patient CRC tumors (Additional file 1: Table S8).

Overall, there is a lack of specific markers for classifying the clinical and biologic characteristics of ovarian tumours.

In the past decade, extensive work has been done to identify differentially expressed genes across different phenotypes, which can be used as diagnostic markers for classifying different disease states or predicting clinical outcomes [ 4- 7].

Metabolic profiling was performed on the synovial fluid samples by the targeted metabolomics approach, and various analytic methods were utilised to identify metabolic markers for classifying subgroups of patients with OA.

Previous marker algorithms for classifying the service of TCP traffic does not have enough consideration of the effect of UDP traffic and the average target rate of flows.

Figure 4B shows the expression profiles of the top two ranked marker peaks for classifying the characteristic of lymph node involvement.