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Autism spectrum disorders (ASDs) are a family of neurodevelopmental disorders that affect different regions of the brain. Therefore, knowing which part of the brain is severely affected by ASDs needs to be more clear. Moreover, transcriptome data analysis in ASDs is mainly performed on brain samples, but the restricted availability of human ASDs brain tissues has remained as a large challenge. We...
Numerous unbearable chronic illnesses are characterised by the presence of fatigue, the extreme exhaustion that does not improve with rest. Chronic fatigue syndromes (CFS) is one of the most commonly reported medical complaint that demand patients to seek medical care. This fatigue becomes complex to describe being a lifelong condition and even plenty of rest fails to take it away. According to the...
The key to effective cancer treatment is early detection. Risk models built from routinely collected clinical data have the opportunity to improve early detection by identifying high-risk patients. In this study, we explored various machine learning techniques for building a melanoma skin cancer risk model. The dataset contains records of routine dermatology office visits from 9,531,408 patients spread...
Cancer is a disease that is characterized by uncontrolled cell growth with the ability to penetrate or develop to the other parts of the body. Various studies have shown the significance of identifying drug targets for cancer, although this process continues challenging in the field of anti-cancer drug designing. The primary purpose of this study is to design a novel approach to identify target genes...
Calcium ($${\text {Ca}}^{2+}$$ Ca2+ ) signaling is the secondary signaling processes which have been one of the most vital intracellular signaling mechanisms. Over recent decades, this signaling process has been studied a lot in various cells to understand its mechanisms and also cure of various health hazards. In this paper, an attempt has been made to propose a model for coupled dynamics of $${\text...
The intracellular calcium signaling plays a crucial role in maintaining chemical homeostatic in all human organelles. In the hepatocyte cell, interdependent calcium and $${\text {IP}}_{3}$$ IP3 dynamics are affected by numerous physiological processes such as advection, diffusion, and buffering. The higher amount of calcium is hazardous to cell; therefore, various factors like influxes, effluxes...
Lung cancer is one of the most lethal diseases across the world. Most lung cancers belong to the category of non-small cell lung cancer (NSCLC). Many studies have so far been carried out to avoid the hazards and bias of manual classification of NSCLC tumors. A few of such studies were intended towards automated nodal staging using the standard machine learning algorithms. Many others tried to classify...
Wireless Body Area Network (WBAN) is an emerging field in computer technology, that plays vital role in society, which facilitates the medical practitioners to remotely monitor and allows them to provide accurate treatment to patients. In WBAN, routing plays an important role to prolong the life time of WBAN. Routing establishes the path between wireless sensor nodes and sink node. In this paper,...
Analysis of gene expression patterns enables identification of significant genes related to a specific disease. We analyze gene expression data for esophageal squamous cell carcinoma (ESCC) using biclustering, gene–gene network topology and pathways to identify significant biomarkers. Biclustering is a clustering technique by which we can extract coexpressed genes over a subset of samples. We introduce...
The anti-melanoma activity (pGI50) values of 71 compounds from the National Cancer Institute (NCI) data bank on LOX IMVI cell line were modeled to illustrate the Quantitative structure–activity relationship (QSAR) of the compounds. The genetic function algorithm (GFA) has been used to select the most relevant descriptors so as to improve the performance of the QSAR model. The statistical significance...
A growing area in neurosciences is focused on the modelling and analysis of connectome, i.e. the set of connections among the constitutive element of the brain. Among the representations, the use of graph theory is largely used. Such discipline uses neuroimaging techniques to derive the connections among the elements. Images represent the anatomical regions of the brain and images are usually compared...
Turmeric, since in ancient Indian traditional medicinal system, has been implicated for its therapeutic and chemopreventive properties against a broad spectrum of diseases. Curcumin, the active polyphenol from turmeric, helps to obstruct the growth of many types of cancers at various stages which include prostrate, melanoma, breast, brain tumor, pancreatic, leukemia, etc. The initiation and recurrence...
In this paper, a model is proposed for heat transfer in women’s breast with and without non-uniformly perfused tumour during menstrual cycle under cold environment. The important biophysical parameters like blood flow, metabolic activity and thermal conduction have been incorporated in the model. The physical condition of heat loss from outer surface of women’s breast exposed to environment has been...
A set of correlated and co-expressed genes, often referred as a functional module, play a synergistic role during any disease or any biological activities. Genes participating in a common module may cause clinically similar diseases and share a common genetic origin of their associated disease phenotypes. Identifying such modules may be helpful in system-level understanding of biological and cellular...
In this study, hologram quantitative structure–activity relationship (HQSAR) and molecular docking studies were performed on a dataset of 108 trifluorophenyl homopiperazine, pyrazoline, and triazepane derivatives as dipeptidyl peptidase IV inhibitors. HQSAR model was obtained using atoms, connection, donor, and acceptor as fragment distinction parameters with fragment size (4–7) using components (...
Phalaris minor (P. minor) is a major weed of wheat crop. It has developed resistance as well as cross-resistance against aryloxyphenoxypropionates (FOP) and cyclohexanediones (DIM) group of herbicides, probably due to mutations in the binding site of acetyl-CoA carboxylase (ACCase) at its carboxyl transferase domain (CT-domain). Binding of FOP and DIM group of herbicides inhibits de novo synthesis...
The hyper-activation of NF-kB (nuclear factor kappa-light-chain-enhancer of activated B cells) in cellular system is associated with inflammation, cancer and other human diseases. The core elements of NF-kB cascade might regulate the translocation and activation of NF-kB transcription factor. In the present study, we focused on active site analysis and molecular docking studies of core elements of...
Whole exome sequencing (WES), workflow consists of the following steps: raw data quality assessment, pre-processing, alignment, post-processing, variant calling, annotation, and prioritization. WES of human samples was reported to detect approximately 20,000–30,000 SNV and indel calls on average. Therefore, it is very important to choose the best tool that suits the related study. In this study, we...
Investigation of DNA sequences is a paramount stage for apprehending biological structures and functions. The known methods for investigating DNA sequence alignments usually fail to produce an exact solution. Motivated by the problem of finding similarities in DNA and amino sequences, we study certain classes of phylogenetic trees and present an exact solution for the minimum node cover which can...
The study of connectome, the complex system of connections in the human brain, has gained a central role in neurosciences. It has turned out to be popular in the field of neuroimaging to model and analyze the brain represented by a network. The graph model of the brain is a framework used to represent neuroanatomical regions or region of interest (ROI) as nodes and their connections. These connections,...
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