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Discrete Wavelet Transform Based Multiview Screening Analysis of scRNA-seq Data Enhance Early-Stage Lung Adenocarcinoma Separation in Lung Tumor Microenvironment Ecotyping
Tumors can be viewed as ecosystems consisting of diverse cells within a host environment. Tumor microenvironment ecotyping can be investigated through gene expression at single cell level. In this study, we leverage the benefits of state-of -art analytic ...
A Multiclass Method for Selecting Differentially-Expressed and Cell-Type-Discriminative Genes from scRNA-Seq Data
Log fold change (LFC) is a common measure used in differential expression analysis to examine the differences in gene expression between two experimental classes, as in the data generated by microarray or bulk RNA sequencing. Many single-cell RNA-seq (...
Recognition of Escherichia Coli Promoters Based on Attention Mechanisms
Recognition of the promoter of Escherichia coli is significant due to it indirectly controls the activity of genes. Several computational promoter prediction methods have been proposed these years, and they have mainly focused on the recognition of the ...
Harnessing High-throughput Sequencing in Developing Drought-Resistant Rice
High-throughput sequencing is a groundbreaking tool in molecular biology, facilitating a comprehensive understanding of the genetic composition of various rice varieties and their responses to environmental stressors, particularly drought. This event ...
A Wavelet-Based Approach Reveals Host-Cell-Type-Specific Multi-omics Networks in Inflammatory Bowel Disease
The interplay between microbiome metabolites and human cells is crucial and mechanistically linked to human health and disease. Inflammatory bowel disease (IBD) is linked to microbiome metabolite and host gene expression. However, details of the ...
Enrichment Analysis of Biological Pathways and Protein Complexes in the PPI Network Associated with Heroin Use Disorder
Heroin use disorder (HUD) is a multifaceted disorder influenced by both genetic predisposition and environmental factors. Previous studies have identified several susceptibility genes associated with HUD, but most investigations into the molecular ...
Predicted Drug-Drug Interactions in Diabetes Mellitus with Graph Convolutional Autoencoder
Drug-drug interactions (DDIs) can happen when two or more drugs are taken together. Today DDIs have become a serious health issue due to adverse drug effects. In vivo and in vitro methods for identifying DDIs are time consuming and costly. Therefore, in ...
COViT: Convolutions and ViT based Deep Learning Model for Covid19 and Viral Pneumonia Classification using X-ray Datasets
Artificial Intelligence based Covid19 through X-ray scans has revolutionized early diagnosis and treatment since the outbreak. There have been remarkable achievements in the research of Covid19 from Normal or other Pneumonia X-ray image classification ...
Impact of Training Data Quality on Deep Speckle Noise Reduction in Ultrasound Images
Speckle noise reduction is an essential step in ultrasound image analysis. One of the challenges in speckle noise reduction is removing noise without significantly losing image detail. Various studies have been conducted using image processing and deep ...
Design of a Pulsed-Wave Doppler ultrasound blood flow detector based on a Programmable System-on-Chip (PSoC)
- Demetrio Fabian Garcia Nocetti,
- Pedro Jesus Acevedo Contla,
- Martin Fuentes Cruz,
- Adalberto Joel Duran Ortega
Doppler ultrasound systems are medical diagnostic equipment that measure blood flow in veins and arteries. These systems are widely used because they are considered non-invasive. This paper describes the design of a Pulsed Wave (PW) Doppler ultrasound ...
IoT-Enabled Wearable Prototype: Detecting Signs of Depression
- K Thulasi,
- Sumathi Balakrishnan,
- Lu Yue,
- Rattana Monpreeyadee,
- Syeda Rahmathunnisa Fatima,
- Mohammad Izhar Shafiq Bin Rosli,
- Giok Qi Wei,
- MB Malarvili
The emergence of the Internet of Things (IoT) offers new possibilities for mental health care, including remote monitoring and early detection of depressive symptoms. This paper presents the design and development of a smart monitoring system called "...
A Neurocomputational Analysis Review of Dorsolateral Prefrontal Cortex rTMS Treatments of Neurological Disorder
Repetitive transcranial magnetic stimulation (rTMS) to the dorsolateral prefrontal cortex (DLPFC) has been used as a treatment for several psychiatric and neurological disorders, including depression, bipolar disorder, anxiety, eating disorders, ...
Classification of Capnogram for Respiratory Assessment Using Entropy Measures
Capnography reveals significant information useful for the assessment of respiratory conditions. Previous studies have analysed quantitatively the shape of the capnogram waveform and proposed various features to differentiate asthma from normal subjects ...
All-cause Mortality During Covid-19 Vaccinations in European Active Populations
The question whether Covid-19 vaccination campaigns could have had an immediate negative impact on excess deaths continues to be debated two years later, in particular in the less than 45 years old. When the age-stratified (anonymized) vaccination ...
Index Terms
- Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics