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

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1,011 to 1,020 of 3,251 Results
Replication Data for: Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation
Jun 23, 2023 - Xia Kelin
Gong, Weikang; Wee, JunJie; Wu, Min-Chun; Sun, Xiaohan; Li, Chunhua; Xia, Kelin, 2023, "Replication Data for: Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation", https://doi.org/10.21979/N9/SBFIZD, DR-NTU (Data), V1
The three-dimensional (3D) chromosomal structure plays an essential role in all DNA-templated processes, including gene transcription, DNA replication and other cellular processes. Although developing chromosome conformation capture (3C) methods, such as Hi-C, which can generate...
Replication Data for: Hodge theory-based biomolecular data analysis
Jun 23, 2023 - Xia Kelin
Wei, Ronald Koh Joon; Wee, JunJie; Laurent, Valerie Evangelin; Xia, Kelin, 2023, "Replication Data for: Hodge theory-based biomolecular data analysis", https://doi.org/10.21979/N9/0TK4YR, DR-NTU (Data), V1
Hodge theory reveals the deep intrinsic relations of differential forms and provides a bridge between differential geometry, algebraic topology, and functional analysis. Here we use Hodge Laplacian and Hodge decomposition models to analyze biomolecular structures. Different from...
Replication Data for: Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction
Jun 23, 2023 - Xia Kelin
Wee, JunJie; Xia, Kelin, 2023, "Replication Data for: Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction", https://doi.org/10.21979/N9/MEDJN1, DR-NTU (Data), V1
Protein–protein interactions (PPIs) play a significant role in nearly all cellular and biological activities. Data-driven machine learning models have demonstrated great power in PPIs. However, the design of efficient molecular featurization poses a great challenge for all learni...
Replication Data for: Forman Persistent Ricci Curvature (FPRC) in Protein-Ligand Binding Affinity Predictions
Jun 23, 2023 - Xia Kelin
Wee, JunJie; Xia, Kelin, 2023, "Replication Data for: Forman Persistent Ricci Curvature (FPRC) in Protein-Ligand Binding Affinity Predictions", https://doi.org/10.21979/N9/ZTA5MN, DR-NTU (Data), V1
Artificial intelligence (AI) techniques have already been gradually applied to the entire drug design process, from target discovery, lead discovery, lead optimization and preclinical development to the final three phases of clinical trials. Currently, one of the central challeng...
TEM analysis
Jun 23, 2023 - Fidel Costa Rodriguez
Costa Rodriguez, Fidel; Made, Riko I, 2023, "TEM analysis", https://doi.org/10.21979/N9/JDABOD, DR-NTU (Data), V1, UNF:6:pjlAG3xZT3vCUU29/HXbNw== [fileUNF]
Analysis results from transmission electron microscopy technique.
TEM analysis-part 2
Jun 23, 2023 - Fidel Costa Rodriguez
Costa Rodriguez, Fidel; Made, Riko I, 2023, "TEM analysis-part 2", https://doi.org/10.21979/N9/37IO98, DR-NTU (Data), V1, UNF:6:ud23yZFxerinh0FRbOHa/Q== [fileUNF]
Transmission electron microscope analysis
TEM analysis-part 3
TEM analysis-part 3
Jun 23, 2023 - Fidel Costa Rodriguez
Costa Rodriguez, Fidel; Made, Riko I, 2023, "TEM analysis-part 3", https://doi.org/10.21979/N9/PSB4O5, DR-NTU (Data), V1, UNF:6:gm+0OegsMK7cDTzmTZ4rcA== [fileUNF]
Transmission electron microscope images
NanoSIMs_analysis
NanoSIMs_analysis
Jun 23, 2023 - Fidel Costa Rodriguez
Costa Rodriguez, Fidel; Made, Riko I, 2023, "NanoSIMs_analysis", https://doi.org/10.21979/N9/NQL3CG, DR-NTU (Data), V1, UNF:6:aFQp/kWsLkhx3ObD5ExUkQ== [fileUNF]
NanoSIMs trace element analysis of minerals and glass
Fidel Costa Rodriguez(Nanyang Technological University)
Fidel Costa Rodriguez logo
Jun 23, 2023Asian School of the Environment (ASE)
Appointment: Visiting Professor (Former) Research topics: I'm interested in understanding the formation, transport, and eruption of magmas (silicate melt, gas and crystals) on the Earth's surface Data and models generated for the NRFi (NRFI2017-06) -Calibrating the lifetimes of m...
Replication Data for: Entanglement in Smart Hydrogels: Fast Response Time, Anti-Freezing and Anti-Drying
Replication Data for: Entanglement in Smart Hydrogels: Fast Response Time, Anti-Freezing and Anti-Drying
Jun 22, 2023 - Wang Shancheng
Wang, Shancheng; Feng, Yuqin; Li, Yaqin; Ma, Wenxia; Zhang, Gang; Yang, Ming; Li, Haibo; Yang, Yongsheng; Long, Yi, 2023, "Replication Data for: Entanglement in Smart Hydrogels: Fast Response Time, Anti-Freezing and Anti-Drying", https://doi.org/10.21979/N9/DO230F, DR-NTU (Data), V1, UNF:6:FozoSQCRU2S/8TT3SSulJw== [fileUNF]
The common techniques to improve hydrogel’s mechanical properties include increasing crosslinking density and forming crosslinked double network hydrogel, which may cause some hydrogels to lose their smart functionalities. Inspired by entanglement-induced strengthening, a simple...
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