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161 to 170 of 268 Results
Replication Data for: Anti-noise window: subjective perception of active noise reduction and effect of informational masking
Jun 26, 2023 - Digital Signal Processing Laboratory
Lam, Bhan; Lim, Kelvin Chee Quan; Ooi, Kenneth Wen Rui; Ong, Zhen Ting; Shi, Dongyuan; Gan, Woon-Seng, 2023, "Replication Data for: Anti-noise window: subjective perception of active noise reduction and effect of informational masking", https://doi.org/10.21979/N9/SEGEFM, DR-NTU (Data), V4, UNF:6:P4PCa/qLWTFUfvj1o1ookA== [fileUNF]
This repository contains replication data to the paper titled: "Anti-noise window: subjective perception of active noise reduction and effect of informational masking"
Replication Data for: Effect of masker selection schemes on the perceived affective quality of soundscapes: A pilot study
Jun 23, 2023 - Digital Signal Processing Laboratory
Ooi, Kenneth Wen Rui, 2023, "Replication Data for: Effect of masker selection schemes on the perceived affective quality of soundscapes: A pilot study", https://doi.org/10.21979/N9/K1P3IL, DR-NTU (Data), V2, UNF:6:v+IWVsIVeJTrRGWaQUZgcQ== [fileUNF]
This repository contains the data and replication code for our publication in Inter-Noise 2023
Replication Data for: Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery
Jun 23, 2023 - Xia Kelin
Choo, Hou Yee; Wee, JunJie; Shen, Cong; Xia, Kelin, 2023, "Replication Data for: Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery", https://doi.org/10.21979/N9/FGKV7S, DR-NTU (Data), V1
Artificial Intelligence (AI) techniques are of great potential to fundamentally change antibiotic discovery industries. Efficient and effective molecular featurization is key to all highly accurate learning models for antibiotic discovery. In this paper, we propose a fingerprint-...
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
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