mil2041
Postdoc at MSKCC studying cancer systems biology.
Memorial Sloan Kettering Cancer CenterNew York City
mil2041's Stars
open-guides/og-aws
📙 Amazon Web Services — a practical guide
shap/shap
A game theoretic approach to explain the output of any machine learning model.
mintisan/awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
bowang-lab/scGPT
OmicsML/awesome-deep-learning-single-cell-papers
jamesdolezal/slideflow
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
scverse/spatialdata
An open and interoperable data framework for spatial omics data
Irrationone/cellassign
Automated, probabilistic assignment of cell types in scRNA-seq data
dviraran/xCell
Cell types enrichment analysis
CahanLab/singleCellNet
SingleCellNet: classify single cells across species and platforms
haesleinhuepf/BioImageAnalysisNotebooks
Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more
Project-MONAI/VISTA
MONAI Versatile Imaging Segmentation and Annotation
SysBioChalmers/RAVEN
The RAVEN Toolbox for genome scale model reconstruction, curation and analysis.
SysBioChalmers/Human-GEM
The generic genome-scale metabolic model of Homo sapiens
WhoIsJack/python-bioimage-analysis-tutorial
A self-explanatory, hands-on intro to bioimage analysis in python. Slightly outdated but still much liked by learners.
jokergoo/cola
A General Framework for Consensus Partitioning
cansysbio/ConsensusTME
ConsensusTME Gene Sets and R Script
Metaboverse/Metaboverse
Visualization and analysis platform for metabolic data and network pattern recognition
wukevin/babel
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
BostonGene/MFP
Mollecular Functional Portraits
broadinstitute/PANOPLY
Repository for the Broad Institute Proteogenomic Data Analysis Center (PGDAC) established by the NIH Clinical Proteomics Tumor Analysis Consortium (CPTAC)
nceglia/genevector
Vector representations of gene co-expression in single cell RNAseq.
bendemeo/shannonca
Information-based dimensionality reduction
lagelab/Genoppi
Genoppi: an open-source software for robust and standardized integration of proteomic and genetic data
tansey-lab/bayestme
BayesTME: A reference-free Bayesian method for analyzing spatial transcriptomics data
BIMSBbioinfo/crispr_DART
A workflow to analyse sequence mutations in CRISPR-CAS9 targeted amplicon sequencing data
reznik-lab/mtdna-mutations
scripts to generate figures/tables from Gorelick et al. Nat Metab, 2021
khuranalab/CNCDriver
Combined mutation recurrence and functional impact to identify coding and non-coding cancer drivers
reznik-lab/IsoLearner
Predicting isotopologue counts from bulk unlabeled metabolomics data
SysBioChalmers/Human-maps
Human1 metabolic maps