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Investigation of memory influences on bio-heat responses of skin tissue due to various thermal conditions
Advancement of new technologies such as laser, focused ultrasound, microwave and radio frequency for thermal therapy of skin tissue has increased...
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Computational method using heterogeneous graph convolutional network model combined with reinforcement layer for MiRNA–disease association prediction
BackgroundA large number of evidences from biological experiments have confirmed that miRNAs play an important role in the progression and...
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Prediction and Analysis of Key Genes in Prostate Cancer via MRMR Enhanced Similarity Preserving Criteria and Pathway Enrichment Methods
Informative gene discovery has grown in interest in the field of biomedical research with the advent of high throughput technologies. The filter...
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Embryo mechanics cartography: inference of 3D force atlases from fluorescence microscopy
Tissue morphogenesis results from a tight interplay between gene expression, biochemical signaling and mechanics. Although sequencing methods allow...
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Generalized Linear Mixed Models for Proportions and Percentages
In this chapter, we will review generalized linear mixed models (GLMMs) whose response can be either a proportion or a percentage. For proportion and...
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Introduction to Fractional Calculus and Modelling
This chapter aims to familiarize the reader with the new field of mathematics known as ‘fractional calculus’, as well as the operators, techniques,...
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Attention-based dual-path feature fusion network for automatic skin lesion segmentation
Automatic segmentation of skin lesions is a critical step in Computer Aided Diagnosis (CAD) of melanoma. However, due to the blurring of the lesion...
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Why Do Big Data and Machine Learning Entail the Fractional Dynamics?
Chapter 2 explores the fundamental question of why big data and machine learning inherently involve...
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An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features
BackgroundPrediction of novel Drug–Target interactions (DTIs) plays an important role in discovering new drug candidates and finding new proteins to...
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STAR_outliers: a python package that separates univariate outliers from non-normal distributions
There are not currently any univariate outlier detection algorithms that transform and model arbitrarily shaped distributions to remove univariate...
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Machine learning assistive rapid, label-free molecular phenoty** of blood with two-dimensional NMR correlational spectroscopy
Translation of the findings in basic science and clinical research into routine practice is hampered by large variations in human phenotype....
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Kernel Ridge Regression (KRR)
Kernel regression is more sensitive than traditional ordinary least squares regression, but is a discretization model. By the add-up sum of...
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Conditional modelling approach to multivariate extreme value distributions: application to extreme rainfall events in South Africa
Multivariate extreme value models are used to investigate the combined behaviour of several weather variables. To investigate joint dependence of...
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Research on stress relaxation behavior of confined Chinese fir subjected to compression
The anchorage system can enhance the bending resistance and initial stiffness of timber structure joints. The system applies pressure through...
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A Method for Time-Series Location Data Publication Based on Differential Privacy
In the age of information sharing, logistics information sharing also faces the risk of privacy leakage. In regard to the privacy leakage of...
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Joint Distribution of Protein Concentration and Cell Volume Coupled by Feedback in Dilution
We consider a protein that negatively regulates the rate with which a cell grows. Since less growth means less protein dilution, this mechanism forms...
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TubULAR: tracking in toto deformations of dynamic tissues via constrained maps
A common motif in biology is the arrangement of cells into tubes, which further transform into complex shapes. Traditionally, analysis of dynamic...
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Analyzing Photoactivation with Diffusion Models to Study Transport in the Endoplasmic Reticulum Network
Photoactivation is a paradigm consisting in local molecular fluorescent activation by laser illumination in a chosen region (source) while measuring...