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Applications of Network Analysis in Bioinformatics
The practice of bioinformatics involves the collection, classification, storage and analysis of biological and biomedical information—using... -
A New Regularly Varying Discrete Distribution Generated by Waring-Type Probability
AbstractIn this paper, based on the discretization method, we construct a new 2-parameter regularly varying discrete distribution generated by...
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Genomics in Big Data Bioinformatics
In today’s world where there is massive growth of genomic data, feature-selection methods are proved to reduce the complexity making analysis for... -
FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards
The current rise of Open Science and Reproducibility in the Life Sciences requires the creation of rich, machine-actionable metadata in order to...
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RMSD Calculations for Comparing Protein Three-Dimensional Structures
The root Mean Square Deviation (RMSD) is a popular measure of structural similarity between protein structures in the field of bioinformatics. The... -
ON THE DISCRETE DISTRIBUTION GENERATED BY LEVY PROBABILITY
In this paper, we consider one-parameter regularly varying discrete distribution generated by Levy probability (RDLP). Some useful plots of the...
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From Computational Logic to Computational Biology Essays Dedicated to Alfredo Ferro to Celebrate His Scientific Career
Alfredo Ferro’s impact on information technology has traversed diverse domains, encompassing Computational Logic, Data Mining, Bioinformatics, and... -
Pattern Recognition for Biometrics and Bioinformatics
Biometrics and Bioinformatics are among the most important and successful applications of machine learning methods. Biometrics are physical... -
Modeling and simulation studies for some truncated discrete distributions generated by stable densities
Some discrete distributions generated by stable densities (DGSDs) could be considered as models for describing phenomena arising in bioinformatics....
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Analysis method and algorithm design of biological sequence problem based on generalized k-mer vector
K-mer can be used for the description of biological sequences and k-mer distribution is a tool for solving sequences analysis problems in...
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Neural nonnegative matrix factorization for hierarchical multilayer topic modeling
We introduce a new method based on nonnegative matrix factorization, Neural NMF, for detecting latent hierarchical structure in data. Datasets with...
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Linear-Time Computation of Generalized Minimal Absent Words for Multiple Strings
A string w is called a minimal absent word (MAW) for a string S if w does not occur as a substring in S and all proper substrings of w occur in S.... -
Longest Common Prefix Arrays for Succinct k-Spectra
The k-spectrum of a string is the set of all distinct substrings of length k occurring in the string. K-spectra have many applications in... -
A Tale of Optimizing the Space Taken by de Bruijn Graphs
In the last decade in bioinformatics, many computational works have studied a graph data structure used to represent genomic data, the de Bruijn... -
InterCriteria Analysis Approach as a Tool for Promising Decision Making in Physiological Rhythms
Recently developed InterCriteria Analysis (ICrA) approach has being intensively gained popularity as quite promising approach to support decision... -
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Scalable discrete algorithms for big data applications
In the past year, the project “Scalable Discrete Algorithms for Big Data Applications” dealt with High-Performance SAT Solving, Malleable Job... -
Mathematical Biology: Looking Back and Going Forward
Mathematical biology has grown over the past 50 years from a niche subject, pursued by a small number of visionary pioneers, to a core sub-discipline... -
The Role of Long Non-Coding RNA (lncRNA) in Health Care Using Big Data Analytics
In recent years the research in Bioinformatics is the major bigdata problem. In health care and Bioinformatics domain in order to protect the... -
Scheduling K-mers Counting in a Distributed Environment
Alignment-free algorithms are used in bioinformatics to efficiently evaluate the similarity between pairs of genomic sequences. They work by...