Parcourir par sujet "software"
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Almond and walnut shell-derived biochars affect sorption-desorption, fractionation, and release of phosphorus in two different soils
(2020)Effective soil phosphorus (P) management requires higher level of knowledge concerning its sorption-desorption, fractionation, and release, as well as its interactions with soil amendments including biochar (BC). The purpose ... -
Anatomy learning from prosected cadaveric specimens versus three-dimensional software: A comparative study of upper limb anatomy
(2018)Introduction: Modern, three-dimensional (3D) anatomy software is a promising teaching method, though few studies examine its effectiveness on upper limb and musculoskeletal anatomy learning. The purpose of this study is ... -
Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis
(2018)Over the years, MR systems have evolved from imaging modalities to advanced computational systems producing a variety of numerical parameters that can be used for the noninvasive preoperative assessment of breast pathology. ... -
Are computational applications the “crystal ball” in the IVF laboratory? The evolution from mathematics to artificial intelligence
(2018)Mathematics rules the world of science. Innovative technologies based on mathematics have paved the way for implementation of novel strategies in assisted reproduction. Ascertaining efficient embryo selection in order to ... -
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 ... -
Bipartite graphs in systems biology and medicine: A survey of methods and applications
(2018)The latest advances in high-throughput techniques during the past decade allowed the systems biology field to expand significantly. Today, the focus of biologists has shifted from the study of individual biological components ... -
Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application
(2020)Bone metastasis is one of the most frequent diseases in prostate cancer; scintigraphy imaging is particularly important for the clinical diagnosis of bone metastasis. Up to date, minimal research has been conducted regarding ... -
BUFET: Boosting the unbiased miRNA functional enrichment analysis using bitsets
(2017)Background: A group of miRNAs can regulate a biological process by targeting genes involved in the process. The unbiased miRNA functional enrichment analysis is the most precise in silico approach to predict the biological ... -
Cadherin and Wnt signaling pathways as key regulators in diabetic nephropathy
(2021)Aim A recent meta-analysis of genome-wide linkage studies (GWLS) has identified multiple genetic regions suggestive of linkage with DN harboring hundreds of genes. Moving this number of genetic loci forward into biological ... -
Carbohydrate estimation supported by the GoCARB system in individuals with type 1 diabetes: A randomized prospective pilot study
(2017)[No abstract available] -
Comparison of iCOR and Rayleigh atmospheric correction methods on Sentinel-3 OLCI images for a shallow eutrophic reservoir
(2022)Remote sensing of inland waters is challenging, but also important, due to the need to monitor the ever-increasing harmful algal blooms (HABs), which have serious effects on water quality. The Ocean and Land Color Instrument ... -
A computer algebra system approach in gene expression analysis
(2017)The primary purpose of this study is to provide an immediate connection to analytics of biological functions and visualisation. We introduce a visual framework in the environment of a main computer algebra system (CAS), ... -
Computer-aided clinical image analysis for non-invasive assessment of tumor thickness in cutaneous melanoma
(2021)Objective: Computerized clinical image analysis is shown to improve diagnostic accuracy for cutaneous melanoma but its effectiveness in preoperative assessment of melanoma thickness has not been studied. The aim of this ... -
A conceptual business model for an agroforestry consulting company
(2016)While socioeconomic and environmental benefits of agroforestry are widely appreciated in the tropics, they were almost neglected from the plans for agronomic development implemented up to early 2000 as set by major policy ... -
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 ... -
DIANA-LncBase v3: Indexing experimentally supported miRNA targets on non-coding transcripts
(2020)DIANA-LncBase v3.0 (www.microrna.gr/LncBase) is a reference repository with experimentally supported miRNA targets on non-coding transcripts. Its third version provides approximately half a million entries, corresponding ... -
Diana-map: Analyzing mirna from raw ngs data to quantification
(2021)microRNAs (miRNAs) are small non-coding RNAs (~22 nts) that are considered central post-transcriptional regulators of gene expression and key components in many pathological conditions. Next-Generation Sequencing (NGS) ... -
DIANA-mirExTra v2.0: Uncovering microRNAs and transcription factors with crucial roles in NGS expression data
(2016)Differential expression analysis (DEA) is one of the main instruments utilized for revealing molecular mechanisms in pathological and physiological conditions. DIANA-mirExTra v2.0 (http://www.microrna. gr/mirextrav2) ... -
DIANA-miRGen v4: Indexing promoters and regulators for more than 1500 microRNAs
(2021)Deregulation of microRNA (miRNA) expression plays a critical role in the transition from a physiological to a pathological state. The accurate miRNA promoter identification in multiple cell types is a fundamental endeavor ... -
DIANA-miTED: A microRNA tissue expression database
(2022)microRNAs (miRNAs) are short (∼23nt) single-stranded non-coding RNAs that act as potent post-transcriptional gene expression regulators. Information about miRNA expression and distribution across cell types and tissues is ...