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85 articles for “Gene expression data”
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An Abnormal Expression Detection System (AEDS) Using Deep Learning Algorithms
Abstract: In the last decade, many deep learning algorithms have achieved remarkable success and gained popularity in various computer vision tasks, including object detection, image recognition, and segmentation. This AEDS (Abnormal Expression Detection System)leverages the power of deep learning algorithms to detect abnormal facial expressions in real-time automatically. AEDS proposed two important models; those are Deep CNN and RNN. CNN is responsible for learning discriminative features from facial images and capturing …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 72–79 Read article
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CRISPR-Based Enhancement of Secondary Metabolites in Artemisia annua: Focus on Artemisinin Biosynthesis
Abstract: Medicinal plants are natural biofactories producing secondary metabolites with significant therapeutic value, including terpenoids, alkaloids, and phenolics. Among these, artemisinin, a sesquiterpene lactone from Artemisia annua L. is the cornerstone of global antimalarial therapy along with additional anticancer, antiviral, and antimicrobial activities. However, artemisinin content in the native plants is inherently low (typically 0.01–0.8% dry weight), restricting affordable and consistent supply. Conventional approaches to increase production include classical breeding, singlegene …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 2, 2026 · pp. 23–35 Read article
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Gene Annotation of Cancer Vaccine for Homo sapiens
Abstract: Objectives: Gene annotation helps us to deduce the structural and functional aspects of a gene that encodes for a functional protein in our body. Thus, by determining the coding sequence and gene location we can derive meaningful insights as to what these genes do in our body. In this study, an unknown gene, cancer vaccine for Homo sapiens has been studied and annotated. Methods: This study was based on a …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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REVIEW OF PHARMACOEPIGENETICS: BRIDGING EPIGENETICS AND PERSONALIZED MEDICINE
Abstract: Pharmacoepigenetics is an emerging field that explores how alterations in gene expression, independent of DNA sequence changes, influence individual responses to drugs. Unlike pharmacogenetics, which focuses primarily on genetic variation, pharmacoepigenetics integrates genetic, environmental, and lifestyle factors to explain interindividual differences in drug efficacy, toxicity, and resistance. Key epigenetic mechanisms including DNA methylation, histone modifications, non-coding RNAs, and RNA methylation play critical roles in regulating drug metabolism and therapeutic outcomes. …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 · pp. 33–40 Read article
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Review paper on CRUD Operations:Using Arrays , mongoDB for data storage.
Abstract: This project presents a simple implementation of a CRUD (Create, Read, Update, Delete) web application using only arrays for data storage instead of a traditional database. Built with Node.js and Express, the app demonstrates core concepts of data manipulation and RESTful routing. It provides a lightweight framework suitable for educational purposes and early-stage prototyping where database integration is unnecessary. The system handles user- generated posts and operates fully in- memory, …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 Read article
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Integrative Network Biology Analysis of GSE6011 Uncovers Molecular Signatures in Duchenne Muscular Dystrophy
Abstract: Duchenne muscular dystrophy (DMD) is a rare, severe neuromuscular disorder demonstrated by progressive skeletal muscle deterioration and premature mortality. Despite advances in supportive care, no definitive cure exists, highlighting the need to explore novel molecular targets. The current study aimed to uncover key dysregulated genes and molecular pathways in DMD through a dataset-specific network biology approach. Publicly available microarray data (GSE6011) from DMD quadriceps muscle biopsies of 22 patients and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 36–48 Read article
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Differential Gene Expression Analysis of Human Atrial Fibroblasts Reveals Dysregulation of RNA Metabolism and Translational Machinery in Atrial Fibrillation
Abstract: Atrial fibrillation (AF) is a complex cardiac arrhythmia characterized by extensive structural remodeling and the activation of atrial fibroblasts, which drive the progression of fibrosis. To identify the underlying transcriptomic alterations, we analyzed six human atrial fibroblast RNA-Seq datasets (three control and three AF) retrieved from the Sequence Read Archive. After performing rigorous quality control and adapter trimming, we aligned the reads to the GRCh38 human reference genome using a …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 15–25 Read article
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Facial Expression Recognition using Convolutional Neural Network
Abstract: Machine learning is a subset of Artificial intelligence. Machine learning enables self-learning from past data and predicts the future. Machine learning is used in many applications such as self-driving cars, Google translate etc. Deep learning is a subset of machine learning. CNN is a convolutional neural network. The CNN approach is very effective in image classification. The target of this exploration is to assist a look acknowledgment framework dependent on …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 1, 2021 · pp. 30–35 Read article
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Comparative Genomics of Heat Shock Protein in Pathogenic Bacteria
Abstract: Genome comparison has recently become a common research topic in computer science. The development of computer-assisted mathematics (using products such as Mathematica or Matlab) has helped engineers, mathematicians, and computer scientists to start operating in this domain, and a public collection of case studies and demonstrations is growing, ranging from whole genome comparisons to gene expression analysis. This has increased the introduction of different ideas, including concepts from systems and …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 1, Issue 2, 2014 · pp. 19–34 Read article
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Artificial Intelligence In Transfusion Medicine And In Our Mission To “BEAT- COVID”
Abstract: The key objectives of this manuscript are: 1] Demystifying the buzzword of Artificial Intelligence [AI] and comparing neuronal networkings similarity of machines with some mammals; 2] Exploring, from outside sources, the breath of some computerized procedural data generated in laboratory and clinical areas of medicine, by robotic tools in the cutting age of transfusion medicine; 3] Expressing views on the variabilities of covid- associated long lasting microcirculatory disseminated pathogenic autoimmune …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 10–21 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN
Abstract: Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 17–26 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Knowledge, Attitude and Practices Regarding E-Waste in Resettlement Areas of East Delhi
Abstract: E-waste is collected and processed for disposal in urban slums of the metropolis of India by untrained workers without using personal protective equipment, which are detrimental not only to their health but also to the environment. This study was designed to find the knowledge, attitude, and practices of e-waste handling and management among the workers involved in e-waste handling and management in East district of Delhi. (Seelampur and Shastripark). A …
Published in Research and Reviews: A Journal of Medicine · Vol. 1, Issue 1, 2011 · pp. 23–28 Read article
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Structural Studies of Alternatively Sliced Transcript Isoforms in Context of Esophageal Cancer
Abstract: Microarray one of the high throughput technologies is used to measure the gene expression, which serves as the primary source for different types of analysis. The results of these experiments are stored in several repositories/databases of which many are made publically available. GEO-Gene Expression Omnibus is one among them. Alternative splicing is a regulated process whose deregulation influences cancer. In the present work, the expression array data sets of esophageal …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 1, Issue 2, 2014 · pp. 38–45 Read article
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Progression in multi-omics and immunological research on host-parasite interactions: Transcriptomics, proteomics, genomics, metabolomics, and immune responses
Abstract: The interaction occuring between hosts and parasites is a quick and multi step-complex biological process that tries to influence disease outcomes. In recent years, multi-omics approaches, such as transcriptomics, proteomics, genomics, metabolomics, and immunological studies, have gathered substantial eye in dissecting these interactions at a microscopic level. These techniques enable a vast understanding of the molecular structures involved in parasitic infections and host defense mechanisms. This article reviews the advancements …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article
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A quasi experimental study on effect of sponge bath on reducing discomfort among post operative general surgery patients in a selected Hospital at Chandigarh 2011
Abstract: Background: Bathing is considered a necessary and therapeutic nursing intervention since it provides hygienic care for clients. Bathing removes sweat, oil, dirt and micro-organisms from the skin, assists in decreasing body odour and the potential for infection, stimulates circulation and provides clients with a refreshed and comforted feeling. Objective: To study the effect of sponge bath on reducing discomfort among post operative general surgery patients. Methods: Study was conducted on …
Published in Research and Reviews : Journal of Surgery · Vol. 6, Issue 2, 2017 · pp. 1–5 Read article
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AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article
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VELOCITYAND OXYGEN DEFICITT INFLUENCE ON THE TRANSPORT OF FRANCISELA IN ELEME CREEK
Abstract: The purpose of this paper is to monitor velocity and oxygen deficit effect on the transport of francisela in Eleme creek, a steady state advection-diffusion-reaction on the transport process were observed in the system, in other to developed the various rate of concentration, constant oxygen deficit and velocity were also monitored in the study, the system express high to low concentration in all the locations that were examined on the …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 47–52 Read article
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A Robust Face Recognition Model based on Convolutional Neural Networks
Abstract: From the past several years, face recognition is one of the challenging issues in computer vision, due to three main technical problems in it. 1) Expression problem: in which same person shows more than one expression. 2) Illumination problem: in which face images of the person are strongly corrupted by lightning and 3) poses problem: in which large portion of the face becomes invisible due to occlusion. To this end …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 1–11 Read article