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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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3,281 to 3,290 of 3,296 Results
Kudos dataset
Sep 29, 2017 - Altmetrics Project
Erdt, Helen Mojisola; Aung, Htet Htet; Aw, Ashley Sara; Rapple, Charlie; Theng, Yin-Leng, 2017, "Kudos dataset", https://doi.org/10.21979/N9/94B0LT, DR-NTU (Data), V1
About Kudos dataset The Kudos dataset (extracted from Kudos in February 2016) is analysed in the research article with the title "Analysing researchers' outreach efforts and the association with publication metrics: A case study of Kudos". This research paper is a result of a joi...
Altmetrics Project(Nanyang Technological University)
Sep 29, 2017Centre for Healthy and Sustainable Cities (CHESS)
Centre for Healthy and Sustainable Cities (CHESS)(Nanyang Technological University)
Centre for Healthy and Sustainable Cities (CHESS) logo
Sep 29, 2017Wee Kim Wee School of Communication and Information (WKWSCI)
The Centre for Healthy and Sustainable Cities (CHESS) dataverse contains research data collected or generated by the interdisciplinary research centre that focuses on projects at the convergence of technology, communication and information on health, risk and environmental issues...
Wee Kim Wee School of Communication and Information (WKWSCI)(Nanyang Technological University)
Wee Kim Wee School of Communication and Information (WKWSCI) logo
Sep 29, 2017
This dataverse is a collection of the Wee Kim Wee School of Communication and Information’s research data.
NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential
NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential
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...
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...
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.
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