Lin Xu is a researcher at UT Southwestern Medical School (IMAGE)
Caption
BIT framework uses Bayesian hierarchical modeling, which assesses probabilities across multiple layers of evidence rather than evaluating isolated pieces of information. This approach enables scientists to more confidently identify transcriptional regulators, or TRs, even in complex biological environments where multiple TRs may be active at once.
Rather than analyzing individual TRs in isolation, BIT integrates vast amounts of data to give scientists a clearer picture of which regulators are active and how they function. This makes BIT a powerful tool for studying transcriptional regulation.
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