The novel coronavirus (2019-nCoV) has recently emerged, causing COVID-19 outbreaks and significant societal/global disruption. Importantly, infection resembles SARS-like complications. However, the lack of knowledge about underlying genetic mechanisms warrants development prospective control measures. In this study, we employed whole-genome alignment digital DNA-DNA hybridization analyses to assess genomic linkage between 2019-nCoV other coronaviruses. To understand pathogenetic behavior...

Abstract Glioblastoma (GBM) is a common malignant brain tumor which often presents as comorbidity with central nervous system (CNS) disorders. Both CNS disorders and GBM cells release glutamate show an abnormality, but differ in cellular behavior. So, their etiology not well understood, nor it clear how influence behavior or growth. This led us to employ quantitative analytical framework unravel shared differentially expressed genes (DEGs) cell signaling pathways that could link using...

Several studies have been done to identify comorbidities of COVID-19. In this work, we developed an analytical bioinformatics framework reveal COVID-19 comorbidities, their genomic associations, and molecular mechanisms accomplishing transcriptomic analyses the RNA-seq datasets provided by Gene Expression Omnibus (GEO) database, where normal infected tissues were evaluated. Using framework, identified 27 correlated diseases out 7,092 collected diseases. Analyzing clinical epidemiological...

With an increasing demand for stringent security systems, automated identification of individuals based on biometric methods has been a major focus research and development over the last decade. Biometric recognition analyses unique physiological traits or behavioral characteristics, such as iris, face, retina, voice, fingerprint, hand geometry, keystrokes gait. The iris complex structure that remains stable person’s lifetime, features have led to its interest in use recognition. In this...

Lung cancer is that kind of disease can be defined as one the threating and has become very challenging these days. In many cases, cells carry overlap with each other its hard to detect in initial stage. But fact is, early detection bring solution; it reduce death for sure. Throughout study, we use a technique (GLCM); The Grey Level Cooccurrence purpose extracting lung images affected. abnormal image detected by Support Vector Machine (SVM).

Abstract Welding generates and releases fumes that are hazardous to human health. (WFs) a complex mix of metallic oxides, fluorides silicates can cause or exacerbate health problems in exposed individuals. In particular, WF inhalation over an extended period carries increased risk cancer, but how WFs may influence cancer behaviour growth is unclear. To address this issue we employed quantitative analytical framework identify the gene expression effects affect subsequent cancers. We examined...

Cardiovascular disease (CVD) is the combination of coronary heart disease, myocardial infarction, rheumatic and peripheral vascular blood vessels. It one leading deadly diseases that causes one-third deaths yearly in globe. Additionally, risk factors associated with it make situation more complex for cardiovascular patients, which lead them towards mortality, but genetic association between CVD its not clearly explored global literature. We addressed this issue linkage factors.We developed...

It is indispensable to ensure security biometrically in the most authentication and identification scenario.Iris recognition regarded as reliable biometric due its stable extraordinary variation texture.The unique patterns are used iris identify individuals requiring a high level of security.This paper explores an efficient technique that uses convolutional neural network (CNN) support vector machine (SVM) for feature extraction classification respectively increase efficiency recognition.The...

Stroke is one of the most life threatening diseases.Now a day difficulty global health concern.Once stroke disease occurs, it not only matter huge medical care and permanent disability but also can eventually lead to death.The strokes be prevent if we identify or predict occurrence in its early stage.In this situation, machine learning hope.It plays vital role prediction diseases industry.In paper, various approaches like Logistic Regression (LR), Random Forest (RF), Decision Tree (DT) are...

The Biometric recognition is the study of identifying individuals based on their unique physiological or behavioral characteristics, includes iris, face, fingerprint, retina, vein, hand geometry, writing, human gait, signature, keystrokes and voice.Among biometrics, an iris has structure it remains stable over a person life time.So that regarded as most accurate reliable biometric system.

With an increasing demand for stringent security systems, automated identification of individuals based on biometric methods has been a major focus research and development over the last decade. Biometric recognition analyses unique physiological traits or behavioral characteristics, such as iris, face, retina, voice, fingerprint, hand geometry, keystrokes gait. The iris complex structure that remains stable person's lifetime, features have led to its interest in use recognition. In this...

Abstract Identification of genes whose regulation expression is similar in both brain and blood cells could enable monitoring significant neurological traits disorders by analysis samples. We thus employed transcriptional pathologically affected tissues, using agnostic approaches to identify overlapping gene functions integrating this transcriptomic information with quantitative trait loci (eQTL) data. Here, we estimate the correlation genetic top-associated cis-eQTLs tissue Parkinson’s...

Experiencing long-term weightlessness during prolonged spaceflight in microgravity environments causes enormous changes human physiology. Past space missions have revealed that low gravity is a serious threat to the development of several diseases, especially bone and joint diseases (BJDs), which been identified as major obstacle missions. Hence, before sending humans Mars or long duration spaceflight, it truly essential investigate association (MG) on BJDs, however, these are not clearly...

Prion disorder (PD) is caused by misfolding and the formation of clumps proteins in brain, notably resulting a steady decrease brain function. Early detection PD difficult due to its unpredictable nature, diagnosis limited regarding specificity sensitivity. Considering uncertainties, current study used network-based integrative system biology approaches reveal promising molecular biomarkers therapeutic targets for PD. In this study, transcriptomics gene expression microarray datasets...

The coronavirus disease (COVID-19) caused by SARS-COV-2, a highly infectious pathogen, genetically similar to SARS-COV is an unprecedented worldwide health crisis. Rapidly accumulating clinical research revealed that COVID-19 manifested various neurological symptoms and also affects the brain in many ways including direct infection systemic inflammation. Which indicates it may substantially increase incidence of developing neurodegenerative diseases (NDGDs). To discourse this issue we...

Gastric cancer is a in which malignant cell develops the inner lining of stomach. The mortality risk gastric increases when several related diseases arise with it as comorbidity. Nowadays, severities and its comorbidity global health concern. To deal this issue we implemented standard analytical approach to identify genetic profiling comorbidities. For analyzing profile used mRNA-seq gene expression microarray data from cancer, diabetes, liver stroke, kidney disease infected tissues control...

Diabetes is a communal illness with tremendous impact on health and people diabetes are at suggestively advanced risk for making many types of genetic dysfunction, particularly cancers like liver, uterine, lung, colon cancer. To precise individuals have specifically high levels insulin in their blood, which could make extra fertile grounds cancer progression. The injections intended treating may also be influencing the hazard cancers. discourse these issues, we studied computable frameworks...