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Toplam kayıt 134, listelenen: 41-50
PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach
(BMC, 2023)
BackgroundCell homeostasis relies on the concerted actions of genes, and dysregulated genes can lead to diseases. In living organisms, genes or their products do not act alone but within networks. Subsets of these networks ...
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
(ELSEVIER IRELAND, 2023)
Background and Objective: Early detection of colon adenomatous polyps is critically important because correct detection of it significantly reduces the potential of developing colon cancers in the future. The key challenge ...
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility
(IEEE COMPUTER SOC, 2023)
Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting ...
Classification of apple images using support vector machines and deep residual networks
(SPRINGER, 2023)
One of the most important problems for farmers who produce large amounts of apples is the classification of the apples
accordingtotheir typesinashorttimewithouthandlingthem. Supportvectormachines(SVM) anddeepresidualnetw ...
Invention of 3Mint for feature grouping and scoring in multi-omics
(FRONTIERS MEDIA SA, 2023)
Advanced genomic and molecular profiling technologies accelerated the enlightenment of the regulatory mechanisms behind cancer development and progression, and the targeted therapies in patients. Along this line, intense ...
Machine learning approaches for underwater sensor network parameter prediction
(ELSEVIER, 2023)
Underwater Acoustic Sensor Networks (UASNs) have recently attracted scientists due to its wide range of real -world applications. However, there are design challenges in UASNs, such as limited network lifetime and low ...
COMPARATIVE PERFORMANCE ANALYSIS OF ARIMA, PROPHET AND HOLT-WINTERS FORECASTING METHODS ON EUROPEAN COVID-19 DATA
(Kerim ÇETİNKAYA, 2022)
COVID-19 is the most common infectious disease of the last few years and has caused an outbreak all
around the world. The mortality rate, which was earlier in the hundreds, increased to thousands and then
to millions. ...
Machine Learning based Early Prediction of Type 2 Diabetes: A New Hybrid Feature Selection Approach using Correlation Matrix with Heatmap and SFS
(İstanbul Teknik Üniversitesi, 2022)
A new hybrid machine learning method for the
prediction of type 2 diabetes is introduced and explained in detail.
Also outcomes are compared with the similar researches. Early
prediction of diabetes is crucial to take ...
Enlightening the molecular mechanisms of type 2 diabetes with a novel pathway clustering and pathway subnetwork approach
(TUBITAK, 2022)
Type 2 diabetes mellitus (T2D) constitutes 90% of the diabetes cases, and it is a complex multifactorial disease. In the last decade, genome-wide association studies (GWASs) for T2D successfully pinpointed the genetic ...
Performance Analysis of Machine Learning and Bioinformatics Applications on High Performance Computing Systems
(Akademik Perspektif Derneği, 2020)
Nowadays, it is becoming increasingly important to use the most efficient and most suitable computational resources for algorithmic tools that extract meaningful information from big data and make smart decisions. In this ...