Back to search

Article

Probabilistic Learning of Treatment Trees in Cancer

2022-01-24

Abstract excerpt

<h4> A bstract </h4> Accurate identification of synergistic treatment combinations and their underlying biological mechnisms is critical across many disease domains, especially cancer. In translational oncology research, preclinical systems such as patient-derived xenografts (PDX) have emerged as a unique study design evaluating multiple treatments administered to samples from the same human tumor implanted int...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
af9bcbc3-4f59-5d2c-b944-603c0f337d23
DOI
10.1101/2022.01.23.477414
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Probabilistic Learning of Treatment Trees in CancerDOI 10.1101/2022.01.23.477414
Select a neighboring publication to make it the new centre.