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1. lets-simplify-bioinformatics lets-simplify-bioinformatics Public

   A conceptual and computational atlas of Bioinformatics designed to minimize cognitive load while maximizing biological insight

   Python

2. kora kora Public

   A research framework for inferring causal gene regulatory networks from transcriptomic data using spike-timing–inspired learning in spiking neural networks, with CPU-based training and scalable, in…

   Python

3. GAI GAI Public

   A unified platform for ADMET profiling, scoring, and visualization. GAI integrates data from multiple predictive tools into a single, interpretable index (0-100) to accelerate drug discovery workfl…

   R

4. c-stdp c-stdp Public

   Event-Timing based causal gene regulatory network inference for COVID-19 transcriptomics.

   Python

5. Atlas_Deconvolve Atlas_Deconvolve Public

   Python

6. VECTORIA VECTORIA Public

   VECTORIA is a deterministic, cross-platform computational kernel framework focused on transparent execution, strict validation, and architectural honesty.

   C++