background: using primary tumor gene expression has been shown to have the ability of finding metastasis-driving gene markers for the prediction of breast cancer recurrence (bcr). however, there are some difficulties associated with the analysis of microarray data which led to poor predictive power and inconsistency of the previously introduced gene signatures. methods: in this study a hybrid m...

background classification of cancer subtypes by means of microarray signatures is becoming increasingly difficult to ignore as a potential to transform pathological diagnosis nonetheless, measurement of indicator genes in routine practice appears to be arduous. in a preceding published study, we utilized real-time pcr measurement of indicator genes in acute lymphoid leukaemia (all) and acute my...

background: numerous studies used microarray gene expression data to extract metastasis-driving gene signatures for the prediction of breast cancer relapse. however, the accuracy and generality of the previously introduced biomarkers are not acceptable for reliable usage in independent datasets. this inadequacy is attributed to ignoring gene interactions by simple feature selection methods, due...

Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet transform and transfer learning is proposed. Since, a large percentage of handwritten signatures are composed of curves and the performance of a sig...

background: acute promyelocytic leukemia (apl) is a unique subtype of acute leukemia. apl is a curable disease; however, drug resistance, early mortality, disease relapse and treatment-related complications remain challenges in apl patient management. one issue underlying these challenges is that the molecular mechanisms of the disease are not sufficiently understood. materials and methods: in ...

The colorectal cancer (CRC) subtyping consortium has unified six independent molecular classification systems, based on gene expression data, into a single consensus system with four distinct groups, known as the consensus molecular subtypes (CMS); clinical implications are discussed in this review based on articles relevant to the CMS of CRC indexed in PubMed as well as the authors’ own ...

The identification of novel survival predictors may help to improve the appropriate management of colorectal cancer (CRC). In the present study, two gene sets associated with irinotecan or oxaliplatin resistance in CRC cell lines were first identified and subsequently applied to the clinical CRC microarray dataset GSE14333. Subsequently, a 60-gene irinotecan resistance-associated signature and ...

This article concerned on the study of signature submanifolds for curves under Lie group actions SE(2), SA(2) and for surfaces under SE(3). Signature submanifold is a regular submanifold which its coordinate components are differential invariants of an associated manifold under Lie group action, and therefore signature submanifold is a key for solving equivalence problems.

The 70-gene signature (MammaPrint™) has been developed on retrospective series of breast cancer patients to predict the risk of breast cancer distant metastases. The microarRAy-prognoSTics-in-breast-cancER (RASTER) study was the first study designed to prospectively evaluate the performance of the 70-gene signature, which result was available for 427 patients (cT1-3N0M0). Adjuvant systemic trea...