5,871 to 5,880 of 6,283 Results
Feb 25, 2021 -
Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network
Gzip Archive - 145.8 MB -
MD5: b40e5731baf87a905a632886d4e0118f
.csv tables with auxiliary input entries: samples in rows, RBP and chemically modifying protein transcript IDs in columns, each cell is the respective transcript abundance level (RPKM normalized); samples from all tissues concatenated together in the same table. Control .csv tabl... |
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. |
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. |
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. |
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. |
Feb 23, 2021 -
葛仙翁肘後備急方 Fulltext Database
XML - 5.1 MB -
MD5: 5d203fb8ade57ca19279ec9411ba697c
DocuSky Compilation of 肘後方. Internal metadata takes subject headers describing the disease and attaches them to individual recipes, which contain no internal signifiers indicating what the recipe is for. Users can navigate this in DocuSky using the Tag/Comment tools on the right... |
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
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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
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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
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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
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