Automated 3D cell detection in very large images
- microscopy
- cell-detection
- deep-learning
- image-analysis
Repository Index
47,133 repositories indexed
73–96 of 157 · Most stars
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
- cancer-genomics
- cnv-detection
- single-cell
- phylogeny
a unified framework for modeling chemically reactive systems
- chemical-equilibrium
- chemical-kinetics
- reactive-transport
- chemical-reactions
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
- cancer-imaging-research
- radiomics
- radiomics-features
- machine-learning
A general library for geometry operations of union, intersections, difference, and xor
- computational-geometry
- union
- intersection
- xor
Practical volume computation and sampling in high dimensions
- geometry
- statistics
- polyhedral-computations
- random-walk
A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning
A Network Integration Approach for Drug-Target Interaction Prediction
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
- generative-adversarial-network
- mri-reconstruction
- computer-vision
- deep-learning
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
- model-predictive-control
- nonlinear-model-predictive-control
- mpc
- nmpc
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
- go
- golang
- matrix
- scientific-computing
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
🏃 The go-to single-cell Foundation Model
- batch-correction
- cell-biology
- celltype-annotation
- denoising
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- disentanglement
- drug-discovery
- genomics
- perturbation
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
Accurate and efficient spot detection for microscopy data
RTree2D is a 2D immutable R-tree for ultra-fast nearest and intersection queries in plane and spherical coordinates
- scala
- rtree
- 2d
- str
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
- protein
- protein-sequences
- protein-design
- representation-learning
Easy link prediction tool
- python
- network-analysis
- link-prediction
- research
Clipping and geometric operations for spherical polygons.
- d3
- map
- polygon-clipping
- projection
Learning cell communication from spatial graphs of cells
- tensorflow
- gnn
- glm
- cvae