… having an integration model for the classification would also … mRNA expression data, miRNA
expression data and WSIs. Feature vectors were obtained and then combined for prognosis …

… , eukaryotic translation termination, viral mRNA translation, 3′ -UTR-… SVM classifier was
considered to develop a Cancer … From the literature review, we found that these miRNAs have …

… be integrated into singular signatures to better predict cancer … measured the PCC based on
the mRNAs that are negatively … with the prognosis through interacting with one miRNA (hsa-…

… In addition to this, prognostic biomarkers generated based … often based on expression data
of mRNA, microRNA (miRNA)… In addition, we visualized the NTP classification results and …

… network for prognostic risk classification on NSCLC patients by integrating the mRNA and
… extracted from mRNA, miRNA, CNV, DNAm, and clinical data for prognostic prediction. An …

… After classification and regularization, there were 497 tumor … We integrated this aspect into
our research to evaluate our … , mRNA transport, mRNA translation, microRNA degradation …

… We selected 165 aberrantly expressed microRNAs (miRNAs) … a lncRNA/miRNA/messenger
RNA ceRNA network in LUAD.… Firstly, we used different classification regarding the clinical …

… Integrative central axis of lncRNA-miRNA-mRNA plays … data base were utilized to investigate
the differential miRNA … with lung adenocarcinoma. In the current study, 40 lncRNAs, 28 …

… of microRNAs in lung cancer diagnosis and prognosis. Finally, … by base pairing to
complementary sites of target mRNAs. … Another commercial kit, microRNA signature classifier …

… In the year 2015, a new tumour classification by the WHO … This ultimately results in the
mRNA’s repression through its … shown that the miRNA expression differs depending on the …