School of Physical and Mathematical Sciences (SPMS)

This dataverse is a collection of the School of Physical and Mathematical Sciences’ research data.

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6,571 to 6,580 of 7,954 Results

gene_dict_alltraintest.jsonl Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network Unknown - 1.2 GB - MD5: 350a556a70cfd1a67c35ad89c18e9c40 Gene dictionary containing pre-mRNA gene sequences (+1000nt flanks on both sides) for all the genes used for training, testing, and validation.
main_inputs_test.tar.gz Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network Gzip Archive - 7.1 GB - MD5: a29ee2cfda07c6a1fef1c09dc1da10f0 Test dataset for model training: each file contains splicing labels for each gene for a particular sample.
main_inputs_train.tar.gz Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network Gzip Archive - 6.3 GB - MD5: b39dd1f15804edb625fe8007fd408565 Train dataset for model training: each file contains splicing labels for each gene for a particular sample.
main_inputs_valid.tar.gz Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network Gzip Archive - 696.2 MB - MD5: 8bd92fb727e907141d8204dea3f0bb61 Validation dataset for model training: each file contains splicing labels for each gene for a particular sample.
Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan Feb 21, 2021 - CHEONG Siew Ann Cheong, Siew Ann, 2021, "Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan", https://doi.org/10.21979/N9/8XMZGF, DR-NTU (Data), V1 Data sets and Python scripts for paper published by T.-W. Yen and S. A. Cheong in Frontiers in Physics for a special issue "From Physics to Econophysics back to Physics: Methods and Insights".
Betti_numbers.m Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan MATLAB Source Code - 1.9 KB - MD5: d41f4325d2b830d283305dfede97a5d7
frontiers_TDA.ipynb Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan Jupyter Notebook - 181.3 KB - MD5: b73e1399aa5ac6d98b679e9637130fa8
Instruction.txt Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan Plain Text - 1.1 KB - MD5: 0d4fa94c7fe65f0c84d6c003454dc899
RetrieveStockPriceData.ipynb Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan Jupyter Notebook - 6.7 KB - MD5: e8976c6585f440b9500ec83ee3b043ba
tickers_SGX.csv Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan Comma Separated Values - 10.4 KB - MD5: fb78675387ab0cbdea8267be37fa46f0

gene_dict_alltraintest.jsonl

Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network

Unknown - 1.2 GB -

Gene dictionary containing pre-mRNA gene sequences (+1000nt flanks on both sides) for all the genes used for training, testing, and validation.

main_inputs_test.tar.gz

Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network

Gzip Archive - 7.1 GB -

Test dataset for model training: each file contains splicing labels for each gene for a particular sample.

main_inputs_train.tar.gz

Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network

Gzip Archive - 6.3 GB -

Train dataset for model training: each file contains splicing labels for each gene for a particular sample.

main_inputs_valid.tar.gz

Feb 25, 2021 - Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network

Gzip Archive - 696.2 MB -

Validation dataset for model training: each file contains splicing labels for each gene for a particular sample.

Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan

Feb 21, 2021 - CHEONG Siew Ann

Cheong, Siew Ann, 2021, "Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan", https://doi.org/10.21979/N9/8XMZGF, DR-NTU (Data), V1

Data sets and Python scripts for paper published by T.-W. Yen and S. A. Cheong in Frontiers in Physics for a special issue "From Physics to Econophysics back to Physics: Methods and Insights".

Betti_numbers.m

Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan

MATLAB Source Code - 1.9 KB -

frontiers_TDA.ipynb

Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan

Jupyter Notebook - 181.3 KB -

Instruction.txt

Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan

Plain Text - 1.1 KB -

RetrieveStockPriceData.ipynb

Feb 21, 2021 - Using Topological Data Analysis (TDA) and Persistent Homology to Analyse the Stock Markets in Singapore and Taiwan

Jupyter Notebook - 6.7 KB -