24 papers · ranked by Valyu relevance
Housen Li, Axel Munk, Hannes Sieling, Guenther Walther
The histogram is widely used as a simple, exploratory display of data, but it is usually not clear how to choose the number and size of bins for this purpose. We construct a confidence set of distribution functions that optimally address the two main tasks of the histogram: estimating probabilities and detecting…
Jon Sporring, Sune Darkner, Su Ruan, Jérôme Lapuyade-Lahorgue
In this paper, we considered the representation power of local overlapping histograms for discrete binary signals. We give an algorithm that is linear in signal size and factorial in window size for producing the set of signals, which share a sequence of densely overlapping histograms, and we state the values for the…
Sahika Gokmen, Johan Lyhagen, Kok Haur Ng
Histograms are frequently used to perform a preliminary study of data, such as finding outliers and determining the distribution’s shape. It is common knowledge that choosing an appropriate number of bins is crucial to revealing the right information. It’s also well known that using bins of different widths, which…
Sagarika Menon, Peter Moeck
The computer program "Histropy" is an interactive Python program for the quantification of selected features of two-dimensional (2D) images/patterns (in either JPG/JPEG, PNG, GIF, BMP, or baseline TIF/TIFF formats) by means of calculations based on the pixel intensities in this data, their histograms, and user-selected…
Yusuf Ibrahim, George Igwegbe, Oluwafemi Azeez
The simplicity and expressiveness of a histogram render it a useful feature in different contexts including deep learning. Although the process of computing a histogram is non-differentiable, researchers have proposed differentiable approximations, which have some limitations. A differentiable histogram that directly…
Zrinko Kozic, Sam Booker, Owen Dando, Giles Hardingham + 1 more
A key step in understanding the results of biological experiments is visualization of the data. Many laboratory experiments contain a range of measurements that exist within a hierarchy of interdependence. An automated way to visualise and interrogate experimental data would: 1) lead to improved understanding of the…
Paulo Sérgio Panse Silveira, José de Oliveira Siqueira
Background and Objective: Histograms and Pearson's coefficient of variation are among the most popular summary statistics. Researchers use histograms to judge the shape of quantitative data distribution by visual inspection. The coefficient of variation is taken as an estimator of relative variability of these data. We…
James S. Weber
A clear articulation of Method of Moments (MOM) Histograms is instructive and has waited 121 years since 1895. Also of interest are enabling uniform bin width (UBW) shape level sets. Mean-variance MOM uniform bin width frequency and density histograms are not unique, however ranking them by histogram skewness compared…
Florian List
Although ubiquitous in the sciences, histogram data have not received much attention by the Deep Learning community. Whilst regression and classification tasks for scalar and vector data are routinely solved by neural networks, a principled approach for estimating histogram labels as a function of an input vector or…
Roberto M. Dyke, Kai Hormann
Many popular modern image processing software packages implement a naïve form of histogram equalization. This implementation is known to produce histograms that are not truly uniform. While exact histogram equalization techniques exist, these may produce undesirable artifacts in some scenarios. In this paper we…
Hsieh Fushing, Tania Roy
We demonstrate that gaps and distributional patterns embedded within real-valued measurements are inseparable biological and mechanistic information contents of the system. Such patterns are discovered through data-driven possibly gapped histogram, which further leads to the geometry-based analysis of histogram…
Visnja Ognjenovic, Vladimir Brtka, Jelena Stojanov, Eleonora Brtka + 4 more
The preprocessing of data is an important task in rough set theory as well as in Entropy. The discretization of data as part of the preprocessing of data is a very influential process. Is there a connection between the segmentation of the data histogram and data discretization? The authors propose a novel data…
Nikola Banić, Neven Elezović
Pearson's chi-squared test can detect outliers in the data distribution of a given set of histograms. However, in fields such as demographics (for e.g. birth years), outliers may be more easily found in terms of the histogram smoothness where techniques such as Whipple's or Myers' indices handle successfully only…
Fushing Hsieh, Tania Roy
Through real examples, we demonstrate that gaps and distributional patterns embedded within real-valued measurements are inseparable biological and mechanistic information contents of the system. To discover such patterns, we develop data-driven algorithms to construct possibly-gapped histograms. Then, based on these…
Chao Li, Shuo Wang, Jiun-Lin Yan, Rory J. Piper + 9 more
Glioblastoma exhibits profound tumor heterogeneity, which causes inconsistent treatment response. The aim of this study was to propose an interpretation method of diffusion tensor imaging (DTI) using joint histogram analysis of DTI-p and-q. With this method we explored the patterns of tumor infiltration which causes…
Will P. M. Rowe, Anna Paola Carrieri, Cristina Alcon-Giner, Shabhonam Caim + 6 more
The growth in publically available microbiome data in recent years has yielded an invaluable resource for genomic research; allowing for the design of new studies, augmentation of novel datasets and reanalysis of published works. This vast amount of microbiome data, as well as the widespread proliferation of microbiome…
Joshua K. Peeples, Julie F. Jameson, Nisha M. Kotta, Jonathan M. Grasman + 2 more
We quantify adipose tissue deposition at surgical sites as a function of biomaterial implantation. To our knowledge, this study is the first investigation to apply convolutional neural network (CNN) models to identify and segment adipose tissue in histological images from silk fibroin biomaterial implants. When…
Demetris Avraam, Rebecca Wilson, Oliver Butters, Thomas Burton + 4 more
'Christos Nicolaides' 'Elinor Jones' 'Andy Boyd' 'Paul Burton'] Data visualizations are a valuable tool used during both statistical analysis and the interpretation of results as they graphically reveal useful information about the structure, properties and relationships between variables, which may otherwise be…
Ryszard Tomaszewski, Jerzy Dajka, Ewa Tomaszewska
Statistical image analysis of an ensemble of digital images of histological samples is performed as an auxiliary investigation a result of the recently proposed method of articular cartilage repair utilizing growth plate chondrocytes in a skeleton animal model. A fixed-shift model of maximal likelihood estimates of…
Authors not listed
Single particle inductively coupled plasma-mass spectrometry (SP ICP-MS) has emerged as a powerful technique for characterising nanoparticles (NPs) and is increasingly used to target microparticles including microplastics (MPs). The accuracy of determining size distributions and number concentrations in SP ICP-MS is…
Tamsen Dunn, Arun Sethuraman
Polyploidy is a significant force in angiosperm evolution, of great interest to evolutionary biologists and crop scientists. The mode of origin of a polyploid lineage is a continuum, ranging from whole genome duplication (WGD) from within the same species (autopolyploidy), to a WGD derived from hybridization between…
Abbas Jabermoradi, John van Duynhoven, Johannes Hohlbein
Emulsifiers play an essential role in ensuring the physiochemical stability of food emulsions. In the case of mayonnaise, proteins contained in egg yolk act as emulsifiers. Here, we employed stochastic optical reconstruction microscopy (STORM) to localize proteins at the oil/water droplet interface using fluorescently…
Authors not listed
Pyrite is identifiable. The Iron (II) disulfide [FeS2] structure becomes isoclinic with minimal tetragonal [CuFeS2], orthorhombic [FeS 2 ], or monoclinic [AsFeS 2 ] forms. Physical examination validates crystal structure and composition. A tetragonal, pale brassy yellow, 6.0 Moh’s hardness, indistinct cleavage, 4.68…
Chin Hong Ooi, Nam-Trung Nguyen, Gregor Kijanka
Protein arrays are systematically arranged, large collections of annotated proteins on planar surfaces commonly used for the characterisation of protein binding events against a wide range of possible probes. These may include analyses of protein-protein, peptide-protein, enzyme-substrate or antibody-antigen…