earmingol
Chilean - PhD in Bioinformatics & Systems Biology from UC San Diego - Postdoc at the Wellcome Sanger Institute
Wellcome Sanger Institute
earmingol's Stars
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
rxhanson/Rectangle
Move and resize windows on macOS with keyboard shortcuts and snap areas
Cinnamon/kotaemon
An open-source RAG-based tool for chatting with your documents.
KindXiaoming/pykan
Kolmogorov Arnold Networks
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
raphaelvallat/pingouin
Statistical package in Python based on Pandas
lucidrains/alphafold3-pytorch
Implementation of Alphafold 3 from Google Deepmind in Pytorch
pytorch/tensordict
TensorDict is a pytorch dedicated tensor container.
Starlitnightly/omicverse
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
theislab/diffxpy
Differential expression analysis for single-cell RNA-seq data.
Marsilea-viz/marsilea
Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)
YosefLab/VISION
Signature Analysis and Visualization for Single-Cell RNA-seq
dpeerlab/spectra
Supervised Pathway DEConvolution of InTerpretable Gene ProgRAms
pwin/owlready2
theislab/anndata2ri
Convert between AnnData and SingleCellExperiment
changwn/scFEA
single cell Flux Estimation Analysis (scFEA) Try the below web server!
r-bioinformatics/edgePy
A Python implementation of edgeR for differential expression analysis
MangiolaLaboratory/sccomp
Testing differences in cell type proportions from single-cell data.
cellgeni/schard
reticulate-free single cell format conversion
brianhie/geosketch
Geometry-preserving random sampling
bpucker/PythonTUBS
Python introduction for life scientists
SemenovAlex/trmf
Temporal Regularized Matrix Factorization
immunitastx/monkeybread
Analyzing cellular niches in spatial transcriptomics data
theislab/batchglm
Fit generalized linear models in python.
Marsilea-viz/legendkit
Legend made easy for matplotlib
LewisLabUCSD/CellFie
An alternative approach to capture the breadth of cellular functions by performing a functional analysis of existing biological networks.
MarieRoald/matcouply
Learning coupled matrix factorizations in Python
kaifuchenlab/MEBOCOST
cchatzis/tPARAFAC2
Implementation of t(emporal)PARAFAC2.
wenjie1991/scMitoMut
The R package utilizes a statistical model to identify mitochondrial mutations.