Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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Updated
Nov 15, 2024 - Python
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
3D image classification using CNN (Convolutional Neural Network)
R library for structural neuroimaging. Provides high-level functions to access (read and write) and visualize surface-based brain morphometry data for individuals and groups.
The Blue Brain BioExplorer (BBBE) is a tool for data visualization experts and scientists to extract and analyze scientific data from visualization and interactive exploration
Processing and visualization tools for quantitative MRI data
command-line electron devtools installer
An official Molecule Transformer Drug Target Interaction (MT-DTI) model
GNU R package for reading and writing neuroimaging file formats. Not limited to FreeSurfer anymore, despite its name.
Single Shell Free Water Elimination Model for Diffusion Tensor Imaging
MRI preprocessing and analysis pipelines and tools for the study of disorders of consciousness
Reusable neuroimaging pipelines using nipype
Predict whether the protien sequence and the drug SMILES will be interact with each other
A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder
OSINT: come iniziare. Strumenti e idee per raccogliere e analizzare fonti aperte.
Handling of structural neuroimaging file formats for Julia.
Scripts for MRI preprocessing
Weakly Object Localization on brain dMRI using CAM
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