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Deposit, archive and share your final research data in DR-NTU (Data)

DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

Who can deposit? NTU faculty, research staff and students.

What can be deposited? Final, non-sensitive research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

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Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

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3,241 to 3,250 of 3,252 Results
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...
Knowledge-Guided Fuzzy Logic Network Modeling(Nanyang Technological University)
Knowledge-Guided Fuzzy Logic Network Modeling logo
Sep 19, 2017Zheng Jie
This dataverse contains source code and dataset for Knowledge-Guided Fuzzy Logic Network Modeling.
Sig2GRN(Nanyang Technological University)
Sig2GRN logo
Sep 19, 2017Zheng Jie
This dataverse contains Sig2GRN package for Cytoscape Plugin.
SynLethDB(Nanyang Technological University)
SynLethDB logo
Sep 19, 2017Zheng Jie
This dataverse contains datasets that are used in the SynLethDB (Synthetic Lethality Database).
NetLand(Nanyang Technological University)
NetLand logo
Sep 19, 2017Zheng Jie
This dataverse contains dataset for NetLand software.
Zheng Jie(Nanyang Technological University)
Zheng Jie logo
Sep 19, 2017College of Computing and Data Science (CCDS)
Appointment: Assistant Professor (Former) Research topics: • Computational Biology and Bioinformatics • Genomics and Epigenomics Systems Biology • Molecular Evolution, Comparative & Population Genomics • Algorithm Design, Scientific Data Mining and Knowledge Discovery
College of Computing and Data Science (CCDS)(Nanyang Technological University)
College of Computing and Data Science (CCDS) logo
Sep 19, 2017
This dataverse is a collection of the College of Computing and Data Science’s research data.
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