Automation of data analysis

In recent years, automated test data generation from source code has gained a significant popularity in software testing. This paper proposes a method, named Hybrid, to generate test data for unit testing C/C++ projects. The method is a combination of two test data generation methods named IIBVTG and WCFT.

20p viambani 18-06-2024 2 1   Download

Whole-exome sequencing (WES) has become an efficient diagnostic test for patients with likely monogenic conditions such as rare idiopathic diseases or sudden unexplained death. Yet, many cases remain undiagnosed. Here, we report the added diagnostic yield achieved for 101 WES cases re-analyzed 1 to 7 years after initial analysis.

8p vibransone 28-03-2024 3 2   Download

Ebook "Automation for food engineering: Food quality quantization and process control" discusses advanced techniques, such as medical imaging, mathematical analysis, and statistical modeling, which have proven successful in food engineering. The authors use the characteristics of food processes to describe concepts, and they employ data from food engineering applications to explain the methods. To aid in the comprehension of technical information, they provide real-world examples and case studies from food engineering projects.

224p coduathanh1122 27-03-2024 9 1   Download

Part 1 of ebook "Automated machine learning: Methods, systems, challenges" provides readers with contents including: AutoML methods; hyperparameter optimization; meta-learning; neural architecture search; blackbox hyperparameter optimization; multi-fidelity optimization; open problems and future research directions; performance estimation strategy;...

87p tieulangtran 28-09-2023 6 2   Download

Continued part 1, part 2 of ebook "Automated machine learning: Methods, systems, challenges" provides readers with contents including: AutoML systems; AutoML challenges; automatic model selection and hyperparameter optimization in WEKA; efficient and robust automated machinelearning; a tree-based pipeline optimization toolfor automating machine learning; the automatic statistician;...

136p tieulangtran 28-09-2023 1 1   Download

Inductive machine learning, and in particular extraction of association rules from data, has been successfully used in multiple application domains, such as market basket analysis, disease prognosis, fraud detection, and protein sequencing. T

7p visteverogers 24-06-2023 6 2   Download

The goal of this investigation was to determine whether automated approaches can learn patientoriented care teams via utilization of an electronic medical record (EMR) system. To perform this investigation, we designed a data-mining framework that relies on a combination of latent topic modeling and network analysis to infer patterns of collaborative teams.

10p visteverogers 24-06-2023 6 2   Download

Scoring laboratory polysomnography (PSG) data remains a manual task of visually annotating 3 primary categories: sleep stages, sleep disordered breathing, and limb movements. Attempts to automate this process have been hampered by the complexity of PSG signals and physiological heterogeneity between patients.

8p visteverogers 24-06-2023 6 2   Download

A peak-tracking algorithm was developed for use in comprehensive two-dimensional liquid chromatography coupled to mass spectrometry. Chromatographic peaks were tracked across two different chromatograms, utilizing the available spectral information, the statistical moments of the peaks and the relative retention times in both dimensions.

10p viginny 23-12-2022 5 3   Download

This paper focuses on exploring Machine learning methods to automate this process. The main challenge we face is in generating adequate training datasets to train the Machine learning model. Creating training data by manually segmenting real images is very labour-intensive, so we have instead tested methods of automatically creating synthetic training datasets which have the same attributes of the original images. The generated synthetic images are used to train a U-net Model, which is then used to segment the original bread dough images.

75p runordie3 06-07-2022 3 1   Download

(BQ) The main contents of the dissertation consist of two main parts. Ebook Artificial Intelligence for Dummies: Part 1 presents the following content: Introducing AI, defining the role of data; considering the use of algorithms, pioneering specialized hardware, seeing AI uses in computer applications, automating common processes, using AI to address medical needs, relying on AI to improve human interaction, performing data analysis for AI, employing machine learning in AI, improving AI with deep learning.

194p runordie4 05-07-2022 20 4   Download

The automated reconstruction of genome sequences in ancient genome analysis is a multifaceted process. Results: Here we introduce EAGER, a time-efficient pipeline, which greatly simplifies the analysis of large-scale genomic data sets. EAGER provides features to preprocess, map, authenticate, and assess the quality of ancient DNA samples. Additionally, EAGER comprises tools to genotype samples to discover, filter, and analyze variants.

14p viaristotle 29-01-2022 7 0   Download

Single-cell RNA sequencing (scRNA-seq) provides new opportunities to characterize cell populations, typically accomplished through some type of clustering analysis. Estimation of the optimal cluster number (K) is a crucial step but often ignored.

21p viarchimedes 26-01-2022 15 0   Download

A widely applied approach to extract knowledge from high-throughput genomic data is clustering of gene expression profiles followed by functional enrichment analysis. This type of analysis, when done manually, is highly subjective and has limited reproducibility. Moreover, this pipeline can be very time-consuming and resource-demanding as enrichment analysis is done for tens to hundreds of clusters at a time. Thus, the task often needs programming skills to form a pipeline of different software tools or R packages to enable an automated approach.

17p vitzuyu2711 29-09-2021 6 1   Download

Next-Generation Sequencing (NGS) has been widely accepted as an essential tool in molecular biology. Reduced costs and automated analysis pipelines make the use of NGS data feasible even for small labs, yet the methods for interpreting the data are not sophisticated enough to account for the amount of information.

12p vigiselle2711 30-08-2021 11 1   Download

Scaphoidectomy and midcarpal fusion can be performed using traditional fixation methods like K-wires, staples, screws or different dorsal (non)locking arthrodesis systems. The aim of this study is to test the Aptus four corner locking plate and to compare the clinical findings to the data revealed by CT scans and semi-automated segmentation.

8p vitennessee2711 02-02-2021 9 2   Download

In this study, the method based on the proposed deep-learning method called ODC-Cloud, which was built on convolutional blocks and integrating with the Open Data Cube (ODC) platform. The results showed that our proposed model achieved an overall 90% accuracy in detecting cloud in Landsat 8 OLI imagery and successfully integrated with the ODC to perform multi-scale and multi-temporal analysis.

9p larachdumlanat129 14-01-2021 14 1   Download

Effective quality assessment is an important part of any high-throughput flow cytometry data analysis pipeline, especially when considering the complex designs of the typical flow experiments applied in clinical trials. Technical issues like instrument variation, problematic antibody staining, or reagent lot changes can lead to biases in the extracted cell subpopulation statistics.

15p viwyoming2711 16-12-2020 19 0   Download

In recent years, high-throughput microscopy has emerged as a powerful tool to analyze cellular dynamics in an unprecedentedly high resolved manner. The amount of data that is generated, for example in longterm time-lapse microscopy experiments, requires automated methods for processing and analysis.

12p viwyoming2711 16-12-2020 11 1   Download

In quantitative proteomics, peptide mapping is a valuable approach to combine positional quantitative information with topographical and domain information of proteins. Quantitative proteomic analysis of cell surface shedding is an exemplary application area of this approach.

7p vikentucky2711 26-11-2020 14 1   Download