We calculate measures of hierarchy in gene and tissue networks of breast cancer patients. We find that the likelihood of metastasis in the future is correlated with increased values of network hierarchy for expression networks of cancer-associated genes, due to the correlated expression of cancer-specific pathways. Conversely, future metastasis and quick relapse times are negatively correlated ...

Breast cancer is the second cause of dead among women. Early detection followed by appropriate cancer treatment can reduce the deadly risk. Medical professionals can make mistakes while identifying a disease. The help of technology such as data mining and machine learning can substantially improve the diagnosis accuracy. Artificial Neural Networks (ANN) has been widely used in intelligent breas...

Cancer cells can have a broad scope of proliferation rates. Here we aim to identify the molecular mechanisms that allow some cancer cell lines to grow up to 4 times faster than other cell lines. The correlation of gene expression profiles with the growth rate in 60 different cell lines has been analyzed using several genome-scale biological networks and new algorithms. New possible regulatory f...

One of the most serious types cancer is skin cancer. The rising number cases, high mortality rate, and cost medical treatment necessitate early detection its symptoms. Skin detected differentiated from melanoma using lesion criteria such as symmetry, color, size, shape.
 Given significance these challenges, researchers have developed a variety early-detection approaches for cancer.
 T...

The development of cancer reflects the complex interactions and properties of many proteins functioning as part of large biochemical networks within the cancer cell. Although traditional experimental models have provided us with wonderful insights on the behavior of individual proteins within a cancer cell, they have been deficient in simultaneously keeping track of many proteins and their inte...

MicroRNAs (miRNAs), a class of endogenous small regulatory RNAs, play important roles in many biological and physiological processes. The perturbations of some miRNAs, which are usually called as onco-microRNAs (onco-miRs), are significantly associated with multiple stages of cancer. Although hundreds of miRNAs have been discovered, the perturbed miRNA regulatory networks and their functions ar...

Tumorigenesis is a multi-step process in which normal cells transform into malignant tumors following the accumulation of genetic mutations that enable them to evade the growth control checkpoints that would normally suppress their growth or result in apoptosis. It is therefore important to identify those combinations of mutations that collaborate in cancer development and progression. DNA copy...

BACKGROUND In 2000, the national cancer plan for England created 34 cancer networks, new organisational structures to coordinate services across populations varying between a half and three million people. We investigated the availability of data sets reflecting measures of structure, process and outcome that could be used to support network management. METHODS We investigated the properties ...

The redundant medical diagnostic factors elimination problem was faced by the use of Artificial Neural Networks that were evolved using Genetic Algorithms. For specific medical diagnosis problems such as breast cancer classification, with given set of diagnostic input parameters, Genetic Algorithms were used for pruning Neural Network structure and the investigation of the most appropriate subs...

There is a widespread agreement that lung cancer one of the deadliest types cancer, affecting both women and men. As result, detecting at an early stage crucial to create accurate treatment plan forecasting reaction patient adopted treatment. For this reason, development Convolutional Neural Networks (CNNs) for task classification has recently seen trend in attention. CNNs have great potential,...