A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
June was sweltering, but the summer heat didn’t slow down open-source software developers. Last month delivered a wave of app ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
The SDDS (Self Describing Data Sets) Library is a C/C++ library designed for handling structured scientific data efficiently. It provides a flexible data format and a set of utilities for writing, ...
This repository contains the code and data for the experiments in the paper "Discovering network dynamics with neural symbolic regression", published in Nature Computational Science (2025). Abstract: ...
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