AIMC Topic: Leukemia

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Fuzzy Gaussian Lasso clustering with application to cancer data.

Mathematical biosciences and engineering : MBE
Recently, Yang et al. (2019) proposed a fuzzy model-based Gaussian (F-MB-Gauss) clustering that combines a model-based Gaussian with fuzzy membership functions for clustering. In this paper, we further consider the F-MB-Gauss clustering with the leas...

Machine Learning Enables Live Label-Free Phenotypic Screening in Three Dimensions.

Assay and drug development technologies
There is a large amount of information in brightfield images that was previously inaccessible by using traditional microscopy techniques. This information can now be exploited by using machine-learning approaches for both image segmentation and the c...

A novel random forests-based feature selection method for microarray expression data analysis.

International journal of data mining and bioinformatics
High-dimensional data and a large number of redundancy features in bioinformatics research have created an urgent need for feature selection. In this paper, a novel random forests-based feature selection method is proposed that adopts the idea of str...

A genetic filter for cancer classification on gene expression data.

Bio-medical materials and engineering
We present a new genetic filter to identify a predictive gene subset for cancer-type classification on gene expression profiles. This approach pursues to not only maximize correlation between selected genes and cancer types but also minimize inter-co...

Textual Definitions in the Leukemia Domain: Methodological Guidelines for Biomedical Ontologies.

Studies in health technology and informatics
The goal of our study is to establish methodological guidelines for the formulation of definitions in biomedical ontologies thatare not so common in the field of Library & Information Science.