Taiwan News

Metagenomics Sequencing Market to Reach US$ 3,994.01 Million by 2030, Growing at a CAGR of 18.5% from 2022 to 2030

The global metagenomics sequencing market size was US$ 1139.3 million in 2021. The global metagenomics sequencing market is forecast to grow to US$ 3,994.01 million by 2030 by registering a compound ...
IEEE

Ensemble Feature Selection for Microarray Data Classification

Abstract: Microarray data classification is challenged by high dimensionality and small sample sizes, causing feature selection instability. Traditional ensemble feature selection methods struggle to ...
TWCN Tech News

Can’t install Windows Media Feature Pack on Windows 11

Although Microsoft provides the Media Feature Pack for different versions of Windows 10, which you can easily download and install in the usual way, many users have ...
C&EN

Small Molecule Modulator of the mTORC2 Pathway Discovered from a DEL Library Designed to Bind to Pleckstrin Homology Domains

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Pleckstrin homology (PH) domains are critical structural motifs ...
Too Old to Operate

Improving prediction of blood cancer using leukemia microarray gene data and Chi2 features with weighted convolutional neural network.

Blood cancer has emerged as a growing concern over the past decade, necessitating early diagnosis for timely and effective treatment. The present diagnostic method, which involves a battery of tests ...
Science Daily

Microarray patches safe and effective for vaccinating children, trial suggests

The first study of the use of microarray patches to vaccinate children has shown that the method is safe and induces strong immune responses. The phase 1/2 randomized trial compared results from the ...
GitHub

Code of paper Feature Selection of Microarray Data Using Multidimensional Graph Neural Network and Supernode Hierarchical Clustering

The current version of the code is not fully curated. We present the core code and examples for reviewers to review. The full code will be published with the final version of the paper. You can ...
IEEE

A Unified Multi-Class Feature Selection Framework for Microarray Data

Abstract: In feature selection research, simultaneous multi-class feature selection technologies are popular because they simultaneously select informative features for all classes. Recursive feature ...
Scientific Research Publishing

Ding, C. and Peng, H.C. (2003) Minimum Redundancy Feature Selection from Microarray Gene Expression Data. Proceedings of the Computational Systems Bioinformatics, 2003, 523-528.

ABSTRACT: Thermal image, or thermogram, becomes a new type of signal for machine condition monitoring and fault diagnosis due to the capability to display real-time temperature distribution and ...
Scientific Research Publishing

Ding, C. and Peng, H. (2003) Minimum Redundancy Feature Selection from Microarray Gene Expression Data. Proceedings of the IEEE Computer Society Conference on Bioinformatics ...

ABSTRACT: With the abundance of exceptionally High Dimensional data, feature selection has become an essential element in the Data Mining process. In this paper, we investigate the problem of ...
Frontiers

Subject clustering by IF-PCA and several recent methods

1 Department of Statistics, Harvard University, Cambridge, MA, United States 2 Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, United States Subject clustering (i.e., the use of ...