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Leveraging gene correlations in single cell transcriptomic data | BMC Bioinformatics

The significance of gene–gene correlationsThe statistical significance of correlations is rarely discussed because, for many common kinds of data—those that are continuous and at least approximately normal...

BigSur – leveraging gene correlations in single cell transcriptomic data

Scientists are using single-cell RNA sequencing (scRNAseq) to push the boundaries of what we can learn about individual cells and how they function. scRNAseq allows researchers to...

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Accurately predicting enzyme functions through geometric graph learning on ESMFold-predicted structures

Dataset constructionTo predict the enzyme active sites, we collected eight enzyme datasets and constructed new training and test sets from them. The eight datasets,...

The importance of applying for funding early in your career | Careers

During my PhD journey, I had a peer named Denis who was known for his remarkable ability to travel the world. From the beaches...

Three indicted in US for smuggling pool chemicals from China | Business

Three people in the US have been indicted for their part in a multi-million-dollar scheme to illegally import and distribute trichloroisocyanuric acid (TCCA) from...

SymProFold: Structural prediction of symmetrical biological assemblies

Pre-filtering of possible prediction candidatesSymProFold uses sequence files in fasta format as input and consequently checks their predictability by performing homodimer predictions with AlphaFold-Multimer21....

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