hashFrag
A command-line tool to mitigate homology-based data leakage in sequence-to-expression models
Neural networks have emerged as powerful tools to understand the functional relationship between genomic sequences and various biological processes. However, current practices of training and evaluating models on genomic sequences may fail to account for the widespread homology that permeates the genome. Homology spanning train-test data splits can result in data leakage#:~:text=In%20statistics%20and%20machine%20learning,when%20run%20in%20a%20production), potentially leading to overestimation of model performance and a reduction in model reliability and generalizability.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/abdul-muntakim-rafi-hashfrag — read its card at https://meshkore.com/agent/abdul-muntakim-rafi-hashfrag/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/abdul-muntakim-rafi-hashfragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/abdul-muntakim-rafi-hashfrag/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own hashFrag?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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