scikit-learn cross validators for iterative stratification of multilabel data
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Updated
Oct 12, 2024 - Python
scikit-learn cross validators for iterative stratification of multilabel data
Graph regularized nonnegative matrix factorization (GNMF) in Python
Code for the General Lake Model
Multi-omics disease sub-type specific drug repositioning aided with expression signatures from ConnectivityMap
Optimal Multivariate-stratification Geographical Detector model
QGIS plugin for inferring geological attitudes from topographic traces and viceversa
A text-based computational framework for patient -specific modeling for classification of cancers. iScience (2022).
Simple two-layer lake model: fast, easy to use, maybe not reliable
Multi-label data stratification with Scikit-multilearn.
DECO :: Decomposing heterogeneous population cohorts for patient stratification and discovery of biomarkers using omic data profiling. R package
emergence is a web application to enable citizen scientists and garden hobbyists to track their activities and research
Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"
Sobre IDEA versión 11 y el comando Estratificacion. IDEAScript y Python.
Sobre IDEA versión 11 y el comando Estratificación con resultado. IDEAScript y Python.
Stratification of multi-label datasets
Simulation code for the paper “No Stratification Without Representation” by Gerdus Benadè, Paul Gölz, and Ariel D. Procaccia.
Repository of the paper "Exploring the link between place’s income mobility and mortality using an agent-based model"
A web application for stratification of Alzheimer's and Parkinson's disease patients
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