In spite of their limited accuracy, gene regulatory networks have provided an immensely successful framework for modeling the cell-fate decision-making process. Here, we show that this success is a ...
Gene expression tests are a form of personalized medicine. Personalized medicine is a way to learn more about your cancer and tailor your treatment. These tests are done on breast cancer cells after ...
Abstract: Scanning electron microscope (SEM) images of molecular sieve catalysts contain information about the shapes and sizes of these particles. SEM image measurement is a crucial step in the ...
Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer
Cancer is the manifestation of abnormalities of different physiological processes involving genes, DNAs, RNAs, proteins, and other biomolecules whose profiles are reflected in different omics data ...
A new algorithm is suggested based on the central limit theorem for generating pseudo-random numbers with a specified normal or Gaussian probability density function. The suggested algorithm is very ...
New technologies provide us nowadays with the ability to generate massive amounts of immunological data in health and disease. However, this “Big data” trend is becoming more challenging and ...
All complex correlated systems, from Arctic melt ponds to the Internet, appear to be governed by the same math as a random matrix. In 1999, while sitting at a bus stop in Cuernavaca, Mexico, a Czech ...
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To comprehend the multipartite organization of large-scale biological and social systems, we introduce an information theoretic approach that reveals community structure in weighted and directed ...
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