DeepTFactor predicts transcription factors

A joint research team from KAIST and UCSD has developed a deep neural network named DeepTFactor that predicts transcription factors from protein sequences. DeepTFactor will serve as a useful tool for understanding the regulatory ...

Tapping overlooked marketing data to drive business growth

Researchers from University of Houston, Columbia University, Emory University, and University of Connecticut published a new paper in the Journal of Marketing that reviews factors that contribute to the disconnect between ...

Chromatin regulation enables generation of diverse antibodies

We need a variety of antibody types to help fight off invading foreign pathogens and our genome is exquisitely tuned to produce them to meet emerging needs. A new study finds that not just our DNA, but its configuration and ...

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