To see the code and documentation, please visit Github or PYPI for instructions on installing the package.

Part 1: The Why

In this first post, I explain why we care about transcription factor networks and how they can help us treat Small Cell Lung Cancer.
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Part 2: Network structure and dynamics

This post takes a look what information we will need to gather in order to understand how cell identity is controlled.
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Part 3: Using data to build a network for Small Cell Lung Cancer

We begin to look at how BooleaBayes, the computational tool developed in the Quaranta lab by David Wooten, PhD and me, can be applied to Small Cell Lung Cancer Data.
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Part 4: How good is our model?

How can we be sure that our model’s predictions will be accurate and tell us something new?

Part 5: So… can we cure Small Cell Lung Cancer yet?

Where we are with targeting cell plasticity as a form of therapy.

*Posts are adapted from my talk on Network Control of Phenotypic Plasticity in SCLC.