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5,171 to 5,180 of 5,197 Results
STITCH.txt
Sep 19, 2017 - SynLethDB: synthetic lethality database towards discovery of selective and sensitive anticancer drug targets
Plain Text - 8.4 MB - MD5: 4e0c3083d591be4c40a10bfbcbb33493
Drug Target
Drug Target
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...
Readme.txt
Sep 19, 2017 - Sig2GRN: a software tool linking signaling pathway with gene regulatory network for dynamic simulation
Plain Text - 384 B - MD5: 2636f89526fdff3d1eed51d5340bbd65
Sig2GRN.jar
Sep 19, 2017 - Sig2GRN: a software tool linking signaling pathway with gene regulatory network for dynamic simulation
application/java-archive - 57.8 KB - MD5: 0616b74779209979bb9399d5c77bc582
Sig2GRN_lib.jar
Sep 19, 2017 - Sig2GRN: a software tool linking signaling pathway with gene regulatory network for dynamic simulation
application/java-archive - 4.8 MB - MD5: 6d2aab7e2e1add1d50e3c636e54ad0a0
src.zip
Sep 19, 2017 - Sig2GRN: a software tool linking signaling pathway with gene regulatory network for dynamic simulation
ZIP Archive - 48.6 KB - MD5: 1b5cbfa3d0ba0ff6c78a5fea99ce3d81
TestingNetwork.txt
Sep 19, 2017 - Sig2GRN: a software tool linking signaling pathway with gene regulatory network for dynamic simulation
Plain Text - 345 B - MD5: 36e78060f6b70687df62c6f28baf3e4a
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...
cdtw.m
Sep 19, 2017 - Knowledge-guided fuzzy logic modeling to infer cellular signaling networks from proteomic data
Unknown - 5.5 KB - MD5: 86c556caece399f31eb7a2353a49999b
cell_fate.mat
Sep 19, 2017 - Knowledge-guided fuzzy logic modeling to infer cellular signaling networks from proteomic data
Unknown - 102.7 KB - MD5: b2d34be66998bc56f13d2f243056d03b
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