AIMC Topic: Neoplasms

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Magnetically driven microrobotic system for cancer cell manipulation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Lab-on-a-chip applications, such as single cell manipulation and targeted delivery of chemicals, could greatly benefit from mobile untethered microdevices able to move in fluidic environments by using magnetic fields. In this paper a magnetically dri...

Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery.

Bioinformatics (Oxford, England)
MOTIVATION: Despite ongoing cancer research, available therapies are still limited in quantity and effectiveness, and making treatment decisions for individual patients remains a hard problem. Established subtypes, which help guide these decisions, a...

Design, architecture and application of nanorobotics in oncology.

Indian journal of cancer
Oncologists all over the globe, relentlessly research on methodologies for detection of cancer and precise localization of cancer therapeutics with minimal adverse effects on healthy tissues. Since the previous decade, the fast growing research in na...

Ensemble of sparse classifiers for high-dimensional biological data.

International journal of data mining and bioinformatics
Biological data are often high in dimension while the number of samples is small. In such cases, the performance of classification can be improved by reducing the dimension of data, which is referred to as feature selection. Recently, a novel feature...

Employing social network analysis for disease biomarker detection.

International journal of data mining and bioinformatics
Detection of disease biomarkers in general and cancer biomarkers in particular is an important task which has received considerable attention in the area of in silico genomic experiments. We describe a new approach for detecting cancer biomarkers bas...

A hybrid ensemble method based on double disturbance for classifying microarray data.

Bio-medical materials and engineering
Microarray data has small samples and high dimension, and it contains a significant amount of irrelevant and redundant genes. This paper proposes a hybrid ensemble method based on double disturbance to improve classification performance. Firstly, ori...

Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data.

IEEE/ACM transactions on computational biology and bioinformatics
Performing clustering analysis is one of the important research topics in cancer discovery using gene expression profiles, which is crucial in facilitating the successful diagnosis and treatment of cancer. While there are quite a number of research w...

Unsupervised Structure Detection in Biomedical Data.

IEEE/ACM transactions on computational biology and bioinformatics
A major challenge in computational biology is to find simple representations of high-dimensional data that best reveal the underlying structure. In this work, we present an intuitive and easy-to-implement method based on ranked neighborhood compariso...