Parcourir par sujet "Bioinformatics"
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Analysis of pediatric Obstructive Nephropathy using protein antibody arrays and computational techniques
(2010)Obstructive Nephropathy (ON) is a renal disease quite frequent in newborns and children. Although it is caused by the improper flow of urine, the nephron destruction can be magnified by various molecular processes. In the ... -
An automated blastomere identification method for the evaluation of day 2 embryos during IVF/ICSI treatments
(2018)Purpose Evaluation of human embryos is one of the most important challenges in vitro fertilization (IVF) programs. The morphology and the morphokinetic parameters of the early cleaving embryo are of critical clinical ... -
Bone fracture identification in x-ray images using fuzzy wavelet features
(2019)The fracture detection process is difficult and requires specialized knowledge of the anatomical structures of the area under consideration. X-ray imaging provides images of the body's internal structures. Despite the rapid ... -
Building in-silico pathway SBML models from heterogeneous sources
(2008)The recent revolutionary developments concerning the high throughput (-omics) measuring techniques in life sciences is expediting the way for the development of in silico models envisioning the Systems biology perspective ... -
The challenges of interpreting phosphoproteomics data: A critical view through the bioinformatics lens
(2016)During the last decade, there has been great progress in high-throughput (HTP) phosphoproteomics and hundreds or even thousands of phosphorylation sites (p-sites) can now be detected in a single experiment. This success ... -
Control of medical robotics and neurorobotic prosthetics by non invasive brain-robot interfaces via EEG and RFID technology
(2008)Brain-robot interface (BRI) has been a growing field of innovative research and development in cognitive neuroscience and brain bioimaging processing technologies. In this paper we endeavor to explore how medical robotics ... -
DeepTSS: multi-branch convolutional neural network for transcription start site identification from CAGE data
(2022)Background: The widespread usage of Cap Analysis of Gene Expression (CAGE) has led to numerous breakthroughs in understanding the transcription mechanisms. Recent evidence in the literature, however, suggests that CAGE ... -
DHLAS: A web-based information system for statistical genetic analysis of HLA population data
(2007)DHLAS (database HLA system) is a user-friendly, web-based information system for the analysis of human leukocyte antigens (HLA) data from population studies. DHLAS has been developed using JAVA and the R system, it runs ... -
DiS-TSS: An Annotation Agnostic Algorithm for TSS Identification
(2020)The spread, distribution and utilization of transcription start sites (TSS) experimental evidence within promoters are poorly understood. Cap Analysis of Gene Expression (CAGE) has emerged as a popular gene expression ... -
Emerging molecular networks common in ionizing radiation, immune and inflammatory responses by employing bioinformatics approaches
(2015)Efficient radiation therapy is characterized by enhanced tumor cell killing involving the activation of the immune system (tumor immunogenicity) but at the same time minimizing chronic inflammation and radiation adverse ... -
Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces
(2019)We are in the era of single-cell RNA sequencing technology, which offers a great potential for uncovering cellular differences with a higher resolution, shedding light in various complex biological processes and complex ... -
Exploration Study on Configurable Instruction Set for Bioinformatics' Applications
(2019)In the past decade, the needs for faster data analysis with high throughput has increased dramatically. Especially in the domain of Bioinformatics and biological data analysis. A common way to overcome this issue is to ... -
A fall detection algorithm for indoor video sequences captured by fish-eye camera
(2015)In this paper we present an algorithm that can discriminate between standing and fallen silhouettes in video sequences acquired by a fish-eye camera, in order to detect falls in an indoor environment. The proposed algorithm ... -
Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm
(2021)Big data methods prevail in the biomedical domain leading to effective and scalable data-driven approaches. Biomedical data are known for their ultra-high dimensionality, especially the ones coming from molecular biology ... -
GOrevenge: A Novel Generic Reverse Engineering Method for the Identification of Critical Molecular Players, Through the Use of Ontologies
(2011)The ever-increasing use of ontologies in modern biological analysis and interpretation facilitates the understanding of the cellular procedures, their hierarchical organization, and their potential interactions at a system's ... -
Heterogeneous data fusion and selection in high-volume molecular and imaging datasets
(2012)In this work, two disparate datasets, concerning the study of the same physiological type of cutaneous melanoma but derived from different donors, one of image (dermatoscopy) and the other of molecular (trascriptomic ... -
A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients
(2020)Osteoarthritis is the common form of arthritis in the knee (KOA). It is identified as one of the main causes of pain leading even to disability. To exploit the continuous increase in medical data concerning KOA, various ... -
Mathematical modeling of trophic state and nutrient flows of Lake Karla using the PCLake model
(2015)In the present article, we simulate Lake Karla, an important natural ecosystem under restoration in Greece, operating also as a reservoir. The lake trophic state is characterized as hypertrophic with the expected negative ... -
MedGaze: Gaze Estimation on WCE Images Based on a CNN Autoencoder
(2019)The interpretation of medical images depends on physicians' experience. Over time, physicians develop their ability to examine the images, and this is usually reflected on gaze patterns they follow to observe visual cues, ... -
Modeling the off-target effects of CRISPR-Cas9 experiments for the treatment of Duchenne Muscular Dystrophy
(2022)Duchenne Muscular Dystrophy (DMD) is a neuromuscular disorder caused by the absence of the dystrophin protein. If left untreated, it causes movement problems at the age of 10-12 years, and death occurs in the 20-30 years ...