Search results for "Data Visualization"
showing 10 items of 76 documents
Analysis of Lipid Experiments (ALEX): A Software Framework for Analysis of High-Resolution Shotgun Lipidomics Data
2013
Global lipidomics analysis across large sample sizes produces high-content datasets that require dedicated software tools supporting lipid identification and quantification, efficient data management and lipidome visualization. Here we present a novel software-based platform for streamlined data processing, management and visualization of shotgun lipidomics data acquired using high-resolution Orbitrap mass spectrometry. The platform features the ALEX framework designed for automated identification and export of lipid species intensity directly from proprietary mass spectral data files, and an auxiliary workflow using database exploration tools for integration of sample information, computat…
ideal: an R/Bioconductor package for interactive differential expression analysis
2020
AbstractBackgroundRNA sequencing (RNA-seq) is an ever increasingly popular tool for transcriptome profiling. A key point to make the best use of the available data is to provide software tools that are easy to use but still provide flexibility and transparency in the adopted methods. Despite the availability of many packages focused on detecting differential expression, a method to streamline this type of bioinformatics analysis in a comprehensive, accessible, and reproducible way is lacking.ResultsWe developed the ideal software package, which serves as a web application for interactive and reproducible RNA-seq analysis, while producing a wealth of visualizations to facilitate data interpr…
Hands On: incorporación de data sprints y digital methods en la docencia de marketing digital
2022
Este artículo recopila la experiencia acumulada durante 9 años en el diseño y ejecución de data sprints en el marco del Máster en Comunicación y Marketing Digital de la Universitat Autònoma de Barcelona. Con más de 90 proyectos distintos a sus espaldas, estas jornadas han sido un punto de encuentro para profesionales, académicos y estudiantes, posibilitando el intercambio de conocimiento y la transferencia de técnicas entre métodos de investigación del ámbito académico con la investigación aplicada al marketing digital. Al mismo tiempo, el formato data sprint facilita el conocimiento práctico y la adquisición de competencias comunicativas, organizativas y el proceso de resolución de problem…
Going standalone and platform-independent, an example from recent work on the ATLAS Detector Description and interactive data visualization
2019
Until recently, the direct visualization of the complete ATLAS experiment geometry and final analysis data was confined within the software framework of the experiment. To provide a detailed interactive data visualization capability to users, as well as easy access to geometry data, and to ensure platform independence and portability, great effort has been recently put into the modernization of both the core kernel of the detector description and the visualization tools. In this proceedings we will present the new tools, as well as the lessons learned while modernizing the experiment’s code for an efficient use of the detector description and for user-friendly data visualization. Until rece…
Kernel methods and their derivatives: Concept and perspectives for the earth system sciences.
2020
Kernel methods are powerful machine learning techniques which implement generic non-linear functions to solve complex tasks in a simple way. They Have a solid mathematical background and exhibit excellent performance in practice. However, kernel machines are still considered black-box models as the feature mapping is not directly accessible and difficult to interpret.The aim of this work is to show that it is indeed possible to interpret the functions learned by various kernel methods is intuitive despite their complexity. Specifically, we show that derivatives of these functions have a simple mathematical formulation, are easy to compute, and can be applied to many different problems. We n…
Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect
2021
Common reporting styles for statistical results in scientific articles, such as $p$ p -values and confidence intervals (CI), have been reported to be prone to dichotomous interpretations, especially with respect to the null hypothesis significance testing framework. For example when the $p$ p -value is small enough or the CIs of the mean effects of a studied drug and a placebo are not overlapping, scientists tend to claim significant differences while often disregarding the magnitudes and absolute differences in the effect sizes. This type of reasoning has been shown to be potentially harmful to science. Techniques relying on the visual estimation of the strength of evidence have been recom…
Context-Aware Visual Exploration of Molecular Datab
2006
Facilitating the visual exploration of scientific data has received increasing attention in the past decade or so. Especially in life science related application areas the amount of available data has grown at a breath taking pace. In this paper we describe an approach that allows for visual inspection of large collections of molecular compounds. In contrast to classical visualizations of such spaces we incorporate a specific focus of analysis, for example the outcome of a biological experiment such as high throughout screening results. The presented method uses this experimental data to select molecular fragments of the underlying molecules that have interesting properties and uses the res…
A Case of Use in the Management of Administrative Processes, Control of Procedures and Services to Citizens In E-Government
2020
One of the objectives of the fourth industrial revolution is the use of data to make decisions, in this sense the decisions of the government could be better if they are based on useful data sources, with quality and focused on services to citizens. This article presents a case of use in the government of Colombia in which an information system was created for the management of complaints and claims by means of control panels, visualization of statistical information and high personalization in the processes for more than 1200 offices and 8000 employees.
Learning from the Past : The Women Writers Project and Thirty Years of Humanities Text Encoding
2017
In recent years, intensified attention in the humanities has been paid to data: to data modeling, data visualization, “big data”. The Women Writers Project has dedicated significant effort over the past thirty years to creating what Christoph Schöch calls “smart clean data”: a moderate-sized collection of early modern women’s writing, carefully transcribed and corrected, with detailed digital text encoding that has evolved in response to research and changing standards for text representation. But that data—whether considered as a publication through Women Writers Online, or as a proof of the viability of text encoding approaches like those expressed in the Text Encoding Initiative (TEI) Gu…
Adaptative Image Flow in Collaborative Medical Telediagnosis Environments
2011
International audience; Telemedicine, the application of telecommunication in the medicine field, has been developed to meet major problems encountered in connecting doctors with patients and other medical staff. Having a robust and efficient telemedical system has always been a challenge. The system needs to make the members in different locations capable of sharing medical data efficiently and without errors. In this work, we present a telemedical system that overcomes these challenges.We deploy a collaborative system and adapt data to store, visualize, modify and transfer fluorescence images efficiently and robustly at the same time. We also make the system adaptive to communicate across…