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1,101 to 1,110 of 4,734 Results
visualizer.cpython-37.pyc
Jun 26, 2025 - BAE project data
Unknown - 3.4 KB - MD5: 3e74185b7bcd38da5fca6a2a11d57d17
visualizer.py
Jun 26, 2025 - BAE project data
Python Source Code - 3.1 KB - MD5: 6bd596962bb3ce297db1aaec1c1e49b9
vovnet.cpython-37.pyc
Jun 26, 2025 - BAE project data
Unknown - 8.8 KB - MD5: a4956a1394faf6d0898dbd260f849662
vovnet.py
Jun 26, 2025 - BAE project data
Python Source Code - 11.4 KB - MD5: aaf1a51a760f73ff4005ea9791fdcfdc
codes.tar.gz
Apr 14, 2025 - Phylogenetic Tree-based Pipeline for Uncovering Mutational Patterns during Influenza Virus Evolution
Gzip Archive - 48.3 MB - MD5: bb209381404d10226a7e4ee0f284be41
Code
Codes for executing the analysis pipeline.
Documentation - Codes (Tool) for Uncovering Mutational Patterns of Influenza Virus Evolution.pdf
Documentation - Codes (Tool) for Uncovering Mutational Patterns of Influenza Virus Evolution.pdf
Apr 14, 2025 - Phylogenetic Tree-based Pipeline for Uncovering Mutational Patterns during Influenza Virus Evolution
Adobe PDF - 653.3 KB - MD5: 2238b7ff53a88f26a9c388838525bba7
Documentation
Documentation of the codes (tool), which describe the input and output of the codes, environment for running the codes, and the steps for running the codes or analysis pipeline.
indata.tar.gz
Apr 14, 2025 - Phylogenetic Tree-based Pipeline for Uncovering Mutational Patterns during Influenza Virus Evolution
Gzip Archive - 2.7 MB - MD5: 908471814acc1085328004725841c5fe
Data
Examples of metadata and sequence data (contain records obtained from the NCBI Influenza Virus Resource) for analysis pipeline.
Methods.pdf
Apr 14, 2025 - Phylogenetic Tree-based Pipeline for Uncovering Mutational Patterns during Influenza Virus Evolution
Adobe PDF - 1.0 MB - MD5: daabe8f3f6ec2c81ab4da386c92505e6
Documentation
Description of methods for the analysis pipeline.
BL_ChannelEstimation.py
Feb 28, 2025 - Related Data for: Hybrid Near- and Far-Field THz UM-MIMO Channel Estimation: A Sparsifying Matrix Learning-Aided Bayesian Approach
Python Source Code - 20.8 KB - MD5: 8385c7d44b83e9f22e66b1d9d636c3ff
dicLearning.py
Feb 28, 2025 - Related Data for: Hybrid Near- and Far-Field THz UM-MIMO Channel Estimation: A Sparsifying Matrix Learning-Aided Bayesian Approach
Python Source Code - 24.6 KB - MD5: 272737c4d886921be6c808b3eeed51a1
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