301 to 310 of 311 Results
Nov 2, 2017
The Biomedical Informatics Lab (BIL) is a research centre under the School of Computer Science and Engineering (SCSE) at the Nanyang Technological University (NTU). BIL is the focus of the education, research and development, and human-resource training in bioinformatics at NTU.... |
Nov 2, 2017
The Biometrics and Forensics Lab is officially inaugurated in March 2013. Presently, it comprises 8 faculty members from the School of Computer Engineering in NTU. The main research focus of the Biometrics and Forensics Lab is in the domain of Network Security, Software Security,... |
Sep 19, 2017 - NetLand
Zheng, Jie, 2017, "NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential", https://doi.org/10.21979/N9/IP6DBD, DR-NTU (Data), V1
About NetLand NetLand is a software for quantitative modeling and visualization of Waddington’s epigenetic landscape. NetLand is intended for modeling, simulation and visualization of gene regulatory networks (GRNs) and their corresponding quasi-potential landscapes. Users can im... |
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... |
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... |
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... |
Sep 19, 2017Zheng Jie
This dataverse contains source code and dataset for Knowledge-Guided Fuzzy Logic Network Modeling. |
Sep 19, 2017Zheng Jie
This dataverse contains datasets that are used in the SynLethDB (Synthetic Lethality Database). |
