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About 10,000 papers for “workflow validation”

Model validation workflow.

Stefano Longobardi (10654047), Anna Sher (5039393), Steven A. Niederer (8855174) · Figshare · 2021

<p>(1) The pore block model is used to calculate the fraction of blocked ion channel at a given compound concentration for each ion channel. These channels’ conductances are scaled to reflect the effect of the compound. (2) The rat myocyte electrophysiological model is run to generate perturbed calcium transients for different compound concentrations. (3) The calcium transients are used as an input for the 3D biventricular rat heart contraction model, and perturbed LV features’ values are obtained. For each LV feature, the number of perturbed values was equal to the number of input calcium curves, which corresponds to the number of tested compound concentrations. (4) Each LV feature values are plotted against the tested compound concentrations to obtain dose-response curves. (5) The qualitative trend of the LV features after <i>in silico</i> pharmacological modulation is compared with literature experimentally measured effects of the same compound on the same LV features for each compound under study.</p>

Cited by 0Open access

Ontology-based workflow validation

Tuan Anh Pham, Thi-Hoa-Hue Nguyen, Nhan Le Thanh · HAL (Le Centre pour la Communication Scientifique Directe) · 2015

In order to ensure a workflow to be executed correctly, many approaches were introduced. But not many of them consider the semantic correctness of the workflow in the design time and the run time. In this paper, a solution to check the semantic correctness of the workflow automatically is presented. To do that, the workflow must be represented in a machine understandable form, an ontology-based approach to represent a workflow is proposed. In addition, we also provide a set of changed operations allowing the users to customize a workflow for using in their organizations. Their change can be made while ensuring the correctness of the workflow. Moreover, a verification method is proposed for checking the semantic correctness of workflow.

Cited by 4Open access

Authentication and Validation – Workflow Processes

João Rocha, Leonilde Reis · International Scientific Conference ITEMA. Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture · 2021

All companies are dependent on Information Systems and Com­munication Technologies for business support to enhance/expand their processes. This article relates to a problem occurring in the field of docu­mentation authentication, highlighting the concerns underlying the use of generic rather than nominal users; the non-establishment of workflow rules that are subject to process improvement, leading to an outdated process and subsequently compromising security rules caused by blocked processes or sharing access to an alternative process in the absence of key stakehold­ers. The adopted research methodology is Design Science Research, given its characteristics and suitability to the field of research. The main results are the review of the literature in the field of theme as well as incorporating the main causes for the breakdown of security policies caused by the need to follow up a workflow process in each Integrated Management system.

Cited by 0Open access

“SNAILS” biosensor workflow and validation.

Alexander James Webb (13155233), Fiona Allan (473265), Richard J. R. Kelwick (13155236) et al. · Figshare · 2022

<p><b>a</b>, Workflow of the ‘SNAILS’ biosensors assay. <b>b</b>, Validation workflow followed for the ‘SNAILS’ assay. <b>c</b>, ‘SNAILS’ biosensor sensitivity. Sensitivity of <i>S</i>. <i>mansoni</i> probe set 1 (SM_A1/SM_B1) against a range of concentrations of the 22-base <i>S</i>. <i>mansoni</i> target (SM_WT, AJW791). Probe concentrations were set to 200 nM of each half probe. <i>n</i> = 12 (4 replicates per reaction, each reaction split into triplicate runs). <b>d</b>, Optimisation of probe concentration. Concentration of probes required to detect 50 nM of <i>S</i>. <i>mansoni</i> 22-base target (SM_WT, AJW791). <i>n</i> = 9 (3 replicates per reaction, each reaction split into triplicate runs). Error bars denote standard error of the mean. The sequences of the probes and target are available in S1A Table.</p>

Cited by 0Open access

Workflow of model validation framework.

Kimberly A. Dautel (14856705), Ephraim Agyingi (14856708), Pras Pathmanathan (389445) · Figshare · 2023

<p>Peak events are identified from the ground truth, which are then analyzed to determine peak dates and peak magnitudes (and other quantities). Uncertainty in this quantities is accounted for. Simultaneously, model predictions for the peak events are analyzed, and each release’s prediction of peak date and magnitude is identified. The collected information are then analyzed to obtain measures of the performance of the model for each peak event.</p>

Cited by 0Open access

Workflow for protein identification and validation

Zhang, Yanling, Zhang, Yong, Adachi, Jun et al. · Figshare · 2011

<b>Copyright information:</b>Taken from "MAPU: Max-Planck Unified database of organellar, cellular, tissue and body fluid proteomes"Nucleic Acids Research 2006;35(Database issue):D771-D779.Published online 07 Nov 2006PMCID:PMC1781136.© 2006 The Author(s)

Cited by 0Open access

Workflow of variant discovery and validation.

Kim Jihoon, Shimizu Chisato, F. Kingsmore Stephen et al. · Figshare · 2017

&lt;p&gt;The diagram illustrates a discovery and validation workflow starting from called variants in an African American family of six members with two KD-affected children as a discovery analysis on WGS followed by knowledge-based filtering derived from published GWAS, disease pathogenesis, and gene-level validation using differential transcript abundance. Confidence filter: a call quality at least 20 and read depth at least 10. Differentially expressed: ≥ 1.2-fold change between acute and convalescent whole blood transcripts. Abbrv.: AF: allele frequency; NA: not available, GWAS: genome-wide association study; KD: Kawasaki disease; &lt;i&gt;TLR6&lt;/i&gt;: &lt;i&gt;Toll-like receptor 6&lt;/i&gt;; &lt;i&gt;MEF2A&lt;/i&gt;: &lt;i&gt;myocyte enhancer factor 2A; ARRDC4&lt;/i&gt;:&lt;i&gt;arrestin domain containing 4&lt;/i&gt;; &lt;i&gt;SLK&lt;/i&gt;: &lt;i&gt;STE20 like kinase&lt;/i&gt;; &lt;i&gt;TACSTD2&lt;/i&gt;: &lt;i&gt;tumor-associated calcium signal transducer 2&lt;/i&gt;.&lt;/p&gt;

Cited by 0Open access

Workflow for the validation of POPI.

Sonia Prot-Labarthe (416066), Thomas Weil (590383), François Angoulvant (463442) et al. · Figshare · 2015

&lt;p&gt;*An item involving codeine was removed subsequent to the validation of the propositions included in POPI, following the revelation of new contraindications for this drug in children under 12 years old &lt;a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0101171#pone.0101171-Levy1" target="_blank"&gt;[22]&lt;/a&gt;. N: Number of items; n: number of panelists.&lt;/p&gt;

Cited by 0Open access

Workflow for protein identification and validation

Zhang, Yanling, Zhang, Yong, Adachi, Jun et al. · Figshare · 2011

<b>Copyright information:</b>Taken from "MAPU: Max-Planck Unified database of organellar, cellular, tissue and body fluid proteomes"Nucleic Acids Research 2006;35(Database issue):D771-D779.Published online 07 Nov 2006PMCID:PMC1781136.© 2006 The Author(s)

Cited by 0Open access

Workflow of discovery and validation approach.

Ana P. Lopes (4653787), Maarten R. Hillen (760783), Eleni Chouri (4857514) et al. · Figshare · 2018

&lt;p&gt;sncRNAs were considered to be validated in the validation phase when they reached the threshold of p&lt;0.05 with a difference in the same direction (ie. up/down regulated) as was observed in the discovery phase. HC: healthy control; iSS: incomplete Sjögren’s Syndrome; pSS: primary Sjögren’s syndrome; sncRNA: small non-coding RNA.&lt;/p&gt;

Cited by 0Open access

Schematic of the analytical validation workflow.

Cu Nguyen (458023), Trinh Nguyen (3428126), Gloria Trivitt (22127385) et al. · Figshare · 2025

All Validation runs were experimental replicates, with a unique user and virtual machine (VM) being used for each run. In total, the validation was performed in triplicate to determine intra-pipeline reproducibility. The output of the triplicate runs was also compared pre-selected truth sets to measure precision and recall, along with other metrics. (TIF)

Cited by 0Open access

A validation workflow for mortality forecasting

Ricarda Duerst, Jonas Schöley, Christina Bohk-Ewald · 2023

The Max Planck Institute for Demographic Research (MPIDR) in Rostock is one of the leading demographic research centers in the world. It's part of the Max Planck Society, the internationally renowned German research society.

Cited by 1Open access

Data Flow and Validation in Workflow Modelling

Shazia Sadiq Maria, Maria Orlowska, Wasim Sadiq et al. · 2007

A complete workflow specification requires careful integration of many different process characteristics. Decisions must be made as to the definitions of individual activities, their scope, the order of execution that maintains the overall business process logic, the rules governing the discipline of work list scheduling to performers, identification of time constraints and more. The goal of this paper is to address an important issue in workflows modelling and specification, which is data flow, its modelling, specification and validation. Researchers have neglected this dimension of process analysis for some time, mainly focussing on structural considerations with limited verification checks. In this paper, we identify and justify the importance of data modelling in overall workflows specification and verification. We illustrate and define several potential data flow problems that, if not detected prior to workflow deployment may prevent the process from correct execution, execute process on inconsistent data or even lead to process suspension. A discussion on essential requirements of the workflow data model in order to support data validation is also given.

Cited by 0

Validation of Illumina’s Isaac variant calling workflow

Liudmila S. Mainzer, Brad Chapman, Oliver Hofmann et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2015

Abstract As the pace of implementing personalized medicine concepts increases, high-throughput variant calling on hundreds of individual genomes per day is a reality that will likely be faced by sequencing facilities across the country in the near future. While the scientific best practices for human variant calling workflows have been well defined, they also pose serious computational challenges at this high scale. Therefore, efforts in both academia and the private sector have focused on developing alternative workflows that may substantially reduce the computational cost per individual genome. Isaac is an “ultra-fast” variant calling workflow, designed by Illumina, Inc, and is claimed to be six times faster than BWA-GATK, with comparable sensitivity and specificity. This report is an independent review of Isaac, mainly focused on the accuracy of variant calls. We note that Isaac is indeed quite fast, and provide some benchmarks on a few hardware architectures. The overall conclusion from our analysis is that the Isaac workflow has undergone substantial improvement from version 01.14.11.27 to Isaac_2.0. The call accuracy is especially high on NA12878, however exomes tend to have a high fraction of false positive calls. We did not manage to reproduce the 99% sensitivity and specificity reported in the Illumina whitepaper, however that might be improved with further tweaking of the options. This report includes the information about some of the command-line parameters and documentation.

Cited by 4Open access