Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data - harel-coffee/cNMF-auto ...

Abstract: Matrix factorization is a fundamental characterization model in machine learning and is usually solved using mathematical decomposition reconstruction loss. However, matrix factorization is ...

Abstract: Matrix factorization is a popular recommendation method used in many fields, but it often lacks sufficient privacy protection. To address privacy concerns in connected living, we propose a ...

These days, when it comes to capturing and holding an audience’s attention you must deliver the most relevant content possible. Whether searching for jobs or something more important, like looking at ...

Extensive clinical and biomedical studies have shown that microbiome plays a prominent role in human health. Identifying potential microbe–disease associations (MDAs) can help reveal the pathological ...

Identifying drug-disease associations is integral to drug development. Computationally prioritizing candidate drug-disease associations has attracted growing attention due to its contribution to ...