EpistasisLab / ebic
EBIC - AI-based parallel biclustering algorithm
☆19Updated 5 years ago
Related projects: ⓘ
- Network inference by fusing data from diverse distributions☆14Updated 7 years ago
- Functional matrix factorization via Bayesian tensor filtering☆13Updated last year
- Selecting features as (network) nodes☆11Updated 6 years ago
- Tools for building and manipulating graphs in Python☆41Updated last year
- ☆21Updated 7 years ago
- Resources for grounding protein families and complexes from text and describing their hierarchical relationships.☆18Updated 2 months ago
- Implementation of Mapper Algorithm☆14Updated 7 years ago
- Bayesian Factorization with Side Information in C++ with Python wrapper☆41Updated 2 years ago
- A Database-based knowledge back-end built on and for INDRA. The INDRA Database is a service that can be set up by any user with their own…☆16Updated last week
- generalized principal component analysis (GLM-PCA) implemented in python☆56Updated 3 years ago
- A python/c++ implementation of an approximate nearest neighbor search for sparse data structures based on the idea of local sensitiv hash…☆10Updated last year
- Data stories☆10Updated 6 years ago
- Explicit Decomposition with Neighborhoods python version☆43Updated 3 months ago
- Semantic Reader of the Scientific Literature☆12Updated last year
- Tools for munging genomic data☆21Updated 5 years ago
- Rank-To-Group score evaluates contribution of confounding factors☆21Updated 2 years ago
- Deep learning based alignment-free method for protein family modeling and prediction☆17Updated 6 years ago
- Analysis code for knowledge discovery project☆12Updated 5 years ago
- Infinite relational model (IRM) for datamicroscopes☆14Updated 8 years ago
- Causal Deconvolution of Networks by Algorithmic Generative Models☆29Updated 5 years ago
- Tree hidden Markov model for learning epigenetic states in multiple cell types☆27Updated 11 years ago
- some general useful python tools for genomics☆20Updated 4 years ago
- Implementation of Fibered Auto-Encoders☆9Updated 3 years ago
- Here I show how to use Deep Learning for biological and biomedical Data Integration.☆11Updated 4 years ago
- Machine-curated database of genetic disease and genome-wide association studies☆55Updated 5 years ago
- Python library for training a covariate shift estimator☆13Updated 5 years ago
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 3 years ago
- Major Histocompatibility Complex (MHC) Binding Affinity Prediction☆9Updated 3 years ago
- Models the Reactome knowledgebase into a interconnected graph☆18Updated 2 weeks ago
- Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang☆18Updated 10 years ago