Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

Genome-wide association studies (GWAS) have catalogued hundreds of thousands of genetic variants linked to complex human traits and diseases, with more than 625,000 variant-trait associations across ...

Abstract: Feature selection is a technique commonly used in Data Mining and Machine Learning. Traditional feature selection methods, when applied to large datasets, generate a large number of feature ...

Abstract: Anomaly detection has been an important research topic in data mining and machine learning. Many real-world applications such as intrusion or credit card fraud detection require an effective ...

Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

Start-ups are paying white-collar professionals to teach their jobs to artificial intelligence models. It’s a bonanza. It’s ...

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...