This knowledge could make it easier to develop drugs for a wide range of diseases.
That allowed researchers to focus on blocking the viruss ability to enter these cells.
Our technique could make it easier for researchers to find this kind of information.
There has been more than a decade of research identifying all the potential targets of transcription factors.
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Armed with this knowledge, we used a mathematical approach calledBayesian inference.
In this technique, prior knowledge is converted into probabilities that can be calculated on a computer.
In our case, its the probability of a gene being regulated by a given transcription factor.
Our technique makes it easier for researchers to hone in on these targets.
Another research groupcombined spatial data with single-cell RNA-sequencing dataand studied the distinct functions of neighboring cells.
We also want to work with colleagues to better understand the complexity of interactions among cells.
