2026-10-12T03:21:34Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33814095 2026-09-15T17:55:41Z category_7 category_13 category_734 category_64 category_132 portal_5 item_type_3 month_year_09_2026

<p>Raw attractor and basin-size results for the rule-fitted 9-node network.</p> Alonso Espinoza (9200839) Eric Goles (362685) Marco Montalva-Medel (24950094) Medicine Genetics Biological Sciences not elsewhere classified Cancer Infectious Diseases reduced model provides original attractor landscape enabling rapid exploration critical control points cell lung cancer candidate therapeutic targets biologically guided reductions streamlined network shrinks unravel chemotherapy resistance div >< p node boolean model node core network simplification systematic reduction state space rules fitting rule fitting regulatory circuits published 31 powerful frameworks nodes ), future mechanistic four orders fitting algorithm extensive synchronous exactly reproduces describes cisplatin compact 9 clinical studies boolean rule boolean networks asynchronous simulations accessible scaffold <p>For each representative scheme, the file reports the update vector, each detected attractor as a binary state or cycle, and the corresponding basin size. These values underlie the reported robustness increase after rule fitting and the comparison between the original and fitted 9-node networks.</p> <p>(CSV)</p> 2026-09-15T17:55:28Z Dataset Dataset 10.1371/journal.pone.0357764.s011 https://figshare.com/articles/dataset/_p_Raw_attractor_and_basin-size_results_for_the_rule-fitted_9-node_network_p_/33814095 CC BY 4.0