No abstract available.
Proceeding Downloads
Predicting single cell genotypes from single cell expression profiles in AML using deep learning
- Georgios Asimomitis,
- Maria Sirenko,
- Christos Fotis,
- Dan A Landau,
- Leonidas G Alexopoulos,
- Elli Papaemmanuil
Acute myeloid leukemia (AML) is an aggressive hematologic malignancy composed of a mixture of genotypically, phenotypically and functionally diverse cell populations including wild-type (WT) cells. The generation of high throughput single cell gene ...
Efficient Feature Selection based on Soft Cluster Analysis for Biological Datasets
The goal of this paper is to propose a new feature selection model which enhances the discrimination power of the selected feature subsets and minimizes their size of them. The proposed algorithm is capable of exploring the essential factors of ...
Genomic insights into antimicrobial-producing Pseudomonas aeruginosa SWUC02
Pseudomonas aeruginosa is an abundant bacterium in nature. Several P. aeruginosa strains are capable of producing a wide range of secondary metabolites with broad-spectrum high antimicrobial activity. This study aims to identify antimicrobial activity ...
Heterogeneity Analysis of Glioblastoma Tumor Cell Population Based on Single-Cell Rna Sequencing Data Analysis
Gliomas are lethal cancers that originate in the central nervous system. Glioblastoma multiforme (GBM) is the most aggressive and commonly occurring malignant brain glioma, accounting for just under 50% of all cases of malignant brain tumours in adults. ...
Whole Genomic Sequencing and Bioinformatic Analysis of Arthrospira Platensis SBC
Due to the exhausted usage of non-renewable petroleum-derived fuels, an increasing global demand for a biologically produced energy source has emerged. Microalgae biomass has become one of the most promising alternatives. Arthrospira platensis is one of ...
The Function of Transmembrane Helix and Signal Sequence of Coronavirus in Co-Translational Targeting and Insertion Towards Er
SARS-Cov-2, a type of coronavirus, caused the global pandemic, and the era has yet ended. The coronavirus has a complicated life cycle. Many researchers have investigated the targeting steps to prevent the coronavirus from replicating in human cells, ...
Genomic and Single Cell Transcriptomic Analyses in Autism Spectrum Disorder
Autism Spectrum Disorder (ASD) is a neurological developmental disorder characterized by repetitive behaviors accompanied by communication and social interaction impairment.In this paper, the effect of prenatal stress factors on ASD was investigated by ...
Averaging Model Weights Boosts Automated Lung Nodule Detection On Computed Tomography
Lung nodule detection remains one of the most common and painstaking tasks in radiology. Efforts to aid overworked radiologists are made using artificial intelligence (AI), although computed tomography (CT) makes it a hard computational task in ...
A Deep Learning approach to infer morphological characteristics of the heart from cardiac sound analysis
As the major cause of deaths worldwide, cardiovascular diseases are responsible for about 17.9 million deaths per year 1. Research on new technologies and methodologies allowed the acquisition of reliable data in several high income countries, however,...
Inner Diameter Measurement Oriented Aortic Segmentation: An Edge Enhancement and Contextual Fusion Deep Learning Method
Coarctation of aorta (CoA) is a critical congenital malformation which can lead to serious complications such as hypertension, heart failure and even shock in severe case. The effective diagnosis and surgical management of CoA require accurate aortic ...
Deep learning applications in fMRI – a Review Work
In modern neuroscience and clinical research, functional magnetic resonance imaging (fMRI) is a non-invasive imaging technique that uses magnetic resonance imaging to measure hemodynamic changes caused by neuronal activity. This technique is used to ...
Classification of Theoretical Extracellular Action Potentials Based on Unsupervised Machine-Learning
Extracellular action potentials (EAP) are one of the most important features in biological study. Many researchers have studied the classification of EAP by their differences in voltage and magnitude. However, most research ignored the fundamental ...
Pharmacodynamics of Phytocompound from Dimocarpus Longan Against Breast Cancer Biomarkers
The leading cause of cancer-related deaths among women is breast cancer. Breast cancer indicators can be blocked by natural plant chemicals with anti-cancer potential, but they must be carefully chosen to prevent negative side effects. In this study, ...
GGN: a model-free, data-driven deep learning framework for reconstructing gene regulatory networks
Reconstructing gene regulatory networks based on time-series gene expression data is a huge challenge in the field of systems biology. However, the accuracy of traditional methods can be further improved. In practical situations, the gene regulatory ...
Investigating Conventional and Novel Methods for Treatment of Cancer
Cancer is one of the most challenging health problems facing humankind. Conventional treatments such as surgery, chemotherapy and radiotherapy can usually have a positive patient outcome in the early-stage tumours without metastasis. However, late-stage ...
Coarse-Grained Molecular Dynamics Simulation of Thermostable Starch Branching Enzyme
- Kosuke Nariyama,
- Yoh Noguchi,
- Motokuni Nakajima,
- Hironao Yamada,
- Ryota Morikawa,
- Masako Takasu,
- Shoko Fujiwara
Starch branching enzymes (SBE) are used industrially to improve the water solubility of starch and the stability of its aqueous solution. The optimum temperature at which SBE exhibits enzymatic activity is lower than that at which starch is highly ...
Mechanical and dynamical analysis of tendon transfer surgery focused on wrist
- Saravana Prakash Thirumuruganandham,
- Tamia Sisa Yanez Tamba,
- Eduardo Patricio Estevez Ruiz,
- Edgar Arturo Gomez
Tendon functions in a complex multi-scale physiological environment to give flexibility and force to the wrist, and hence, it helps to the wrist to perform the daily motion as flexion, extension, adduction and abduction. Tendons often might suffer ...
Index Terms
- Proceedings of the 2023 13th International Conference on Bioscience, Biochemistry and Bioinformatics