scholarly journals COMPUTATIONAL SCHEME OF SPLINE DISTRIBUTION IDENTIFICATION BY PROBABILITY PAPER

2012 ◽  
Vol 16 (0) ◽  
Author(s):  
O. M. Matsuga ◽  
H. S. Shubina
Keyword(s):  
Computational Scheme ◽  
Probability Paper

On computational scheme of correlate method of adjustment

2019 ◽  
Vol 63 (2) ◽  
pp. 145-151
Author(s):  
Neyman Yu.M. ◽  
◽  
Sugaipova L.S. ◽  
Keyword(s):  
Computational Scheme ◽  
Method Of Adjustment

HCVS: Pinpointing Chromatin States Through Hierarchical Clustering and Visualization Scheme

2019 ◽  
Vol 14 (2) ◽  
pp. 148-156
Author(s):  
Nighat Noureen ◽  
Sahar Fazal ◽  
Muhammad Abdul Qadir ◽  
Muhammad Tanvir Afzal
Keyword(s):  
Hierarchical Clustering ◽  
Real Data ◽  
Cell Types ◽  
Computational Scheme ◽  
Data Set ◽  
Chromatin States ◽  
Functional Regions ◽  
Visualization Strategy ◽  
Hidden States ◽  
Next Generation Sequencing Ngs

Background: Specific combinations of Histone Modifications (HMs) contributing towards histone code hypothesis lead to various biological functions. HMs combinations have been utilized by various studies to divide the genome into different regions. These study regions have been classified as chromatin states. Mostly Hidden Markov Model (HMM) based techniques have been utilized for this purpose. In case of chromatin studies, data from Next Generation Sequencing (NGS) platforms is being used. Chromatin states based on histone modification combinatorics are annotated by mapping them to functional regions of the genome. The number of states being predicted so far by the HMM tools have been justified biologically till now. Objective: The present study aimed at providing a computational scheme to identify the underlying hidden states in the data under consideration. </P><P> Methods: We proposed a computational scheme HCVS based on hierarchical clustering and visualization strategy in order to achieve the objective of study. Results: We tested our proposed scheme on a real data set of nine cell types comprising of nine chromatin marks. The approach successfully identified the state numbers for various possibilities. The results have been compared with one of the existing models as well which showed quite good correlation. Conclusion: The HCVS model not only helps in deciding the optimal state numbers for a particular data but it also justifies the results biologically thereby correlating the computational and biological aspects.

Improving stability of MPS method by a computational scheme based on conceptual particles

2014 ◽  
Vol 278 ◽  
pp. 254-271 ◽  
Author(s):  
Xiao Chen ◽  
Guang Xi ◽  
Zhong-Guo Sun
Keyword(s):  
Computational Scheme ◽  
Mps Method

Is the Gaussian Distribution Normal?

1965 ◽  
Vol 18 (1) ◽  
pp. 65-71 ◽  
Author(s):  
E. W. Anderson
Keyword(s):  
Normal Distribution ◽  
Gaussian Distribution ◽  
Mathematical Foundation ◽  
Probability Paper ◽  
Straight Line

It has been said that the mathematician accepts the gaussian distribution because he believes it to be supported in practice, and the practical man accepts it because he believes it has a sound mathematical foundation. Presumably it is for such reasons that the gaussian distribution is known as the ‘normal’ distribution and ‘probability paper’ has scales specially distorted so that a gaussian distribution will appear as a straight line.

Performance Analysis of a Variable Speed-Ratio Metal V-Belt Drive

1988 ◽  
Vol 110 (4) ◽  
pp. 472-481 ◽  
Author(s):  
D. C. Sun
Keyword(s):  
Operating Conditions ◽  
Computational Scheme ◽  
Optimum Operating ◽  
Speed Ratio ◽  
Belt Drive ◽  
Variable Speed ◽  
Change Effect ◽  
Multiple Band ◽  
Ratio Change ◽  
Metal Block

A model of the metal V-belt drive (MBD), considering its detailed multiple-band and metal-block structure, and the ratio-change effect during its operation, is constructed and analyzed. A computational scheme is devised that adapts the analysis to the computation of the MBD’s performance for any specified drive-schedule. General performance characteristics of the MBD and an example illustrating its response to a given drive-schedule are presented. The use of the analysis and the computational scheme in the design of the MBD and in finding the optimum operating conditions is discussed.

The Uses and Usefulness of Binomial Probability Paper

2007 ◽  
pp. 111-145
Author(s):  
Frederick Mosteller ◽  
John W. Tukey
Keyword(s):  
Binomial Probability ◽  
Probability Paper

scholarly journals A Generic Method for Bijections between Blossoming Trees and Planar Maps

10.37236/3386 ◽  
2015 ◽  
Vol 22 (2) ◽  
Author(s):  
Marie Albenque ◽  
Dominique Poulalhon
Keyword(s):  
Recent Work ◽  
Spanning Tree ◽  
Linear Time ◽  
Computational Scheme ◽  
Closed Formula ◽  
Special Cases ◽  
Planar Maps ◽  
Root Face ◽  
By Products

This article presents a unified bijective scheme between planar maps and blossoming trees, where a blossoming tree is defined as a spanning tree of the map decorated with some dangling half-edges that enable to reconstruct its faces. Our method generalizes a previous construction of Bernardi by loosening its conditions of application so as to include annular maps, that is maps embedded in the plane with a root face different from the outer face.The bijective construction presented here relies deeply on the theory of $\alpha$-orientations introduced by Felsner, and in particular on the existence of minimal and accessible orientations. Since most of the families of maps can be characterized by such orientations, our generic bijective method is proved to capture as special cases many previously known bijections involving blossoming trees: for example Eulerian maps, $m$-Eulerian maps, non-separable maps and simple triangulations and quadrangulations of a $k$-gon. Moreover, it also permits to obtain new bijective constructions for bipolar orientations and $d$-angulations of girth $d$ of a $k$-gon.As for applications, each specialization of the construction translates into enumerative by-products, either via a closed formula or via a recursive computational scheme. Besides, for every family of maps described in the paper, the construction can be implemented in linear time. It yields thus an effective way to encode or sample planar maps.In a recent work, Bernardi and Fusy introduced another unified bijective scheme; we adopt here a different strategy which allows us to capture different bijections. These two approaches should be seen as two complementary ways of unifying bijections between planar maps and decorated trees.

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