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About 10,000 papers for “Workflow”
Samina Azad · BRAC University Institutional Repository (BRAC University) · 2005
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2005.
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Shiping Chen · Swinburne Research Bank (Swinburne University of Technology) · 2006
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Americanae (AECID Library)
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Americanae (AECID Library)
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Torben Noto (4045295), Derrick Barnagian (4045298), Jason B. Castro (460485) · Figshare · 2017
<p><b>A)</b> The principal data set was a genes x voxels matrix [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0178087#pone.0178087.ref003" target="_blank">3</a>,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0178087#pone.0178087.ref021" target="_blank">21</a>] cataloging brain-wide expression. Columns corresponding to known olfactory areas were selected, and the dimensionality of the resultant sub-matrix was reduced using non-negative matrix factorization (NMF). The cartoon shows an example of reducing the original data from m-dimensional to s-dimensional, where m>>s. <b>B)</b> NMF yields a new basis set (column vectors) as well as weights of voxels in the new basis (row vectors). Voxels are readily clustered by selecting the largest weight, and registration of clustered voxels to the anatomical atlas reveals the spatial patterning of clusters. Note that the clustering itself is blind to spatial relationships among voxels. The cartoon shows an example where s = 2.</p>
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Daniela Gaio (8168424), Matthew Z. DeMaere (6404834), Kay Anantanawat (8168427) et al. · Figshare · 2022
<p>Schematic workflow from sample collection to sequencing (orange) and data analysis (green). Scripts (italic) are available in our GitHub repository.</p>
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Kiefl, Evan · Figshare · 2022
For the Kiefl 2022 paper
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Elke Ericson (52165), Marinella Gebbia (52166), Lawrence E. Heisler (9228) et al. · Figshare · 2015
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Jihyun Oh · Figshare · 2015
A workflow to calculate momentum budget associated with the Madden-Julian Oscillation over the Indian Ocean
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Neto, Joana · Figshare · 2023
Workflow for "<em>Open-source tool for real-time and automated analysis of droplet-based microfluidic" </em>
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Erica Manesso (3072768), Hao Yuan Kueh (52038), George Freedman (3072765) et al. · Figshare · 2016
<p>Workflow from the selection of core module, extraction of gene expression of time series to fitting procedures and parameter estimation and selection for the TCF-1, GATA-3, and BCL11B dynamics.</p>
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Ane Miren Gutiérrez-Muto (16495503), Sven Bestmann (335904), Rubén Sánchez de la Torre (17468323) et al. · Figshare · 2023
<div><p>The increasing application of TMS in research and therapy has spawned an ever-growing number of commercial and non-commercial TMS devices and technology development. New CE-marked devices appear at a rate of approximately one every two years, with new FDA-approved application of TMS occurring at a similar rate. With the resulting complex landscape of TMS devices and their application, accessible information about the technological characteristics of the TMS devices, such as the type of their circuitry, their pulse characteristics, or permitted protocols would be beneficial. We here present an overview and open access database summarizing key features and applications of available commercial and non-commercial TMS devices (<a href="http://www.tmsbase.info/" target="_blank">http://www.tmsbase.info</a>). This may guide comparison and decision making about the use of these devices. A bibliometric analysis was performed by identifying commercial and non-commercial TMS devices from which a comprehensive database was created summarizing their publicly available characteristics, both from a technical and clinical point of view. In this document, we introduce both the commercial devices and prototypes found in the literature. The technical specifications that unify these devices are briefly analysed in two separate tables: power electronics, waveform, protocols, and coil types. In the prototype TMS systems, the proposed innovations are focused on improving the treatment regarding the patient: noise cancellation, controllable parameters, and multiple stimulation. This analysis shows that the landscape of TMS is becoming increasingly fragmented, with new devices appearing ever more frequently. The review provided here can support development of benchmarking frameworks and comparison between TMS systems, inform the choice of TMS platforms for specific research and therapeutic applications, and guide future technology development for neuromodulation devices. This standardisation strategy will allow a better end-user choice, with an impact on the TMS manufacturing industry and a homogenisation of patient samples in multi-centre clinical studies. As an open access repository, we envisage the database to grow along with the dynamic development of TMS devices and applications through community-lead curation.</p></div>
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Caiyun Yao (21755745), Maotong Hu (21755748), Lingxia Zhou (21755751) et al. · Figshare · 2025
<div> Chloride channel accessory 1 (CLCA1) is considered a potential prognostic biomarker for colon adenocarcinoma (COAD). The objective of this research was to develop two pathomics models to predict CLCA1 expression from hematoxylin-eosin (H&E) stained pathological images and to investigate the biological mechanisms linked to pathomics features by associating the pathomics model with transcriptomic data. The prognostic value of CLCA1 in COAD was assessed based on gene transcriptome expression data. The two pathomics models were constructed to predict CLCA1 expression in COAD based on pathological image features using the random forest (RF) and XGBoost machine learning algorithms. The RF pathomics model demonstrated superior predictive performance, achieving area under the curve (AUC) values of 0.846 and 0.776 in the training and validation cohorts, respectively, and was selected for further analysis. The ability of the pathomics model to predict overall survival (OS) in COAD was determined using univariate and multivariate Cox regression analyses. The possible biological mechanisms behind the pathomics model were explored by conducting gene set variation analysis (GSVA), immune infiltration assessment, and somatic mutation analysis. CLCA1 expression was downregulated in COAD patients and was associated with a poor prognosis (<i>P</i> = 0.008). Participants were categorized into high- and low-risk score groups based on the critical value of the risk score. High-risk scores were protective for OS in COAD in both univariate and multivariate Cox regression analyses. Meanwhile, GSVA enrichment analysis unveiled notable enrichment of pathways such as the epithelial-mesenchymal transition and vascular endothelial growth factor (VEGF) signaling in the low-risk score group. Two pathomics-based machine learning models were developed to predict CLCA1 expression from H&E stained images of COAD. A theoretical basis for interpreting the disease model was developed by comprehensively analyzing the pathomics-based models and transcriptomic data, facilitating further hypothesis-driven experimental research. </div>
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Greg Lester, Jonny Sands · 2024
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Mark E. Daggett · Apress eBooks · 2013
A freak snowstorm provided me with insights on how I could make JavaScript application development faster, more enjoyable, and ostensibly more profitable by improving my workflow. The goal of this chapter is to teach others how to do the same.
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Eric Luhta · 2013
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2018
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Steffie Deroy · OpenEdition (OpenEdition) · 2015
Au début de notre « projet tutoré » et lors de la reprise de ce carnet de recherche Monde du Livre, nous nous sommes constitués en une équipe semblable sommairement à celle d’une revue, reprenant les postes principaux afin de nous familiariser au monde professionnel, au travers de nos études. Afin que personne ne soit lésé pendant ce travail et que tout le monde s’investisse pendant les différentes étapes de la production d’un billet, il a été mis en place un workflow (( Ce procédé sert à déc...
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Data Archiving and Networked Services (DANS)
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Kilian Morel, Yohann Schatz, Fabian Boujon et al. · Open MIND · 2024
Ce dossier contient les diagrammes qui servent à décrire, sous forme graphique, le déroulement des processus depuis l'acquisition des données jusqu'à l'analyse structurelle des ouvrages, en passant par la création des modèles en 3 dimensions.
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