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LASSIM -a network inference toolbox for genome-wide mechanistic modeling [USF2, KLF6/COPEB, CBL and HIS1 siRNA]]

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NIAID Data Ecosystem2026-03-10 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE95508
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We present LASSIM, which is a toolbox built to build and infer parameters within mechanistic models on a genomic scale. This is made possible due to a property shared across biological systems, namely the existence of a subset of master regulators, here denoted the core system. The introduction of a core system of genes simplifies the inference into small solvable sub-problems, and implies that all main regulatory actions on peripheral genes come from a small set of regulator genes. This separation allows substantial parts of computations to be solved in parallel, i.e. permitting the use of a computer cluster, which substantially reduces the time for the computation to finish. Data contains 31 samples: 8 controls, 6 CBL knockdowns, 6 USF2 knockdowns, 6 COPEB(KLF6) knockdowns and 5 HIS1 knockdowns.
创建时间:
2017-08-18
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