Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …

Abstract Protein phosphatase 4 (PP4) plays an indispensable regulatory part in the
development and malignant progression of multifarious tumors. Nevertheless, the function of …

Cancer is one of the most prevailing, deadly and challenging diseases worldwide. The
advancement in technology led to the generation of different types of omics data at each …

Aberrant expressions of apoptotic genes have been associated with papillary thyroid
carcinoma (PTC) in the past, however, their prognostic role and utility as biomarkers remains …

Risk assessment in cutaneous melanoma (CM) patients is one of the major challenges in
the effective treatment of CM patients. Traditionally, clinico-pathological features such as …

Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer with
heterogeneous outcomes and diverse therapeutic responses. To classify patients into …

Emerging evidence suggests that the prognosis of patients with lung adenocarcinoma can
be determined from germline variants and transcript levels in nontumoral lung tissue. Gene …

Numerous cancer‐specific prognostic models have been developed in the past, wherein
one model is applicable for only one type of cancer. In this study, an attempt has been made …

We attempted to discover the biomarker associated with metastasis and prognosis of lung
adenocarcinoma. The mRNA/lncRNA expression profiles (GSE101836) were downloaded …

This research paper presents an optimized Support Vector Machine (SVM) algorithm for
accurate cancer cell classification. This algorithm utilizes the projection of data to higher …