Sentence examples for cancer data with from inspiring English sources

We now apply the best-performing method, SIRENE, to ovarian cancer data with 282 differentially expressed genes and predict GRNs for normal and cancerous ovarian epithelial tissue.

The three methods with the proposed screenings were applied to prostate cancer data with presence of metastasis as the outcome.

Finally, we find that the exact same three factors, the p53 specific factor, factor 7, and factor 8, have analogous factors in the ovarian cancer data with greater than 90% correlation (as computed on the 251 breast cancer samples).

When we compared the expression levels of the 10 lactic acidosis factors in the breast cancer data with the 20 lactic acidosis factors discovered in the lung cancer data, we found that several factors are highly conserved, including the tamoxifen factor, the p53 specific factor, as well as factors 7 and 8.

When the interpretability of the models is preferred, we can use two rules to classify lung cancer data with 89.26% testing accuracy, and three rules to classify lung cancer data with a testing accuracy of 91.28%.

The three statistics in question were calculated for the breast cancer data with each of three latency periods.

During this process, HSPA2 was found with different characters in our breast cancer data compared with previous reported study in other cancer types.

We applied our method to two microarray data sets, a breast cancer data set with ER-positive and ER-negative subtypes [ 18] and a leukemia data set [ 23].

> We then clustered all the cancer data together with the nine normal individuals, and identified overlapping breakpoint regions containing at least two invalid pairs from different cancer samples.

We have 2 breast cancer data sets with subjects grouped by survival status and 4 other using estrogen receptor (ER) status as classification criteria.

A large cancer data set with more than 7000 microarrays is built from about 60 public available experiments in the AE database.