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SynLethDB: synthetic lethality database towards discovery of selective and sensitive anticancer drug targets
Sep 19, 2017 - SynLethDB
Zheng, Jie, 2017, "SynLethDB: synthetic lethality database towards discovery of selective and sensitive anticancer drug targets", https://doi.org/10.21979/N9/CVEVDZ, DR-NTU (Data), V1
This dataset is used in the SynLethDB which is the first comprehensive database that harbours a large set of synthetic lethality (SL) gene pairs collected from a variety of sources including biochemical assays, other related databases, computational predictions and text mining. I...
Sig2GRN: a software tool linking signaling pathway with gene regulatory network for dynamic simulation
Sep 19, 2017 - Sig2GRN
Zheng, Jie, 2017, "Sig2GRN: a software tool linking signaling pathway with gene regulatory network for dynamic simulation", https://doi.org/10.21979/N9/SO9VRB, DR-NTU (Data), V1
Sig2GRN is a software tool which links the models of signaling pathway with gene regulatory networks (GRNs). A generalized logical model, Sign2GRN is used in modeling the upstream signaling pathways. Then a Boolean model and a thermodynamics-based model are employed to predict th...
Knowledge-guided fuzzy logic modeling to infer cellular signaling networks from proteomic data
Sep 19, 2017 - Knowledge-Guided Fuzzy Logic Network Modeling
Zheng, Jie, 2017, "Knowledge-guided fuzzy logic modeling to infer cellular signaling networks from proteomic data", https://doi.org/10.21979/N9/VLZWCL, DR-NTU (Data), V1
About Knowledge-guided fuzzy logic network model Knowledge-guided fuzzy logic network model is a new hybrid method to integrate the prior knowledge and data-driven learning for signaling pathway inference. It is applied to infer signaling pathways by exploiting both prior knowled...
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