scSGL: kernelized signed graph learning for single-cell gene regulatory network inference

Research article (Bioinformatics, 2022) · cited 15× · AI/ML
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scSGL: kernelized signed graph learning for single-cell gene regulatory network inference

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scSGL: kernelized signed graph learning for single-cell gene regulatory network inference is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). scSGL: kernelized signed graph learning for single-cell gene regulatory network inference. Retrieved May 24, 2026, from https://4ort.xyz/entity/scsgl-kernelized-signed-graph-learning-for-single-cell-gene-regulatory-network-inference
MLA “scSGL: kernelized signed graph learning for single-cell gene regulatory network inference.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scsgl-kernelized-signed-graph-learning-for-single-cell-gene-regulatory-network-inference.
BibTeX @misc{4ortxyz_scsgl-kernelized-signed-graph-learning-for-single-cell-gene-regulatory-network-inference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{scSGL: kernelized signed graph learning for single-cell gene regulatory network inference}}, year = {2026}, url = {https://4ort.xyz/entity/scsgl-kernelized-signed-graph-learning-for-single-cell-gene-regulatory-network-inference}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): scSGL: kernelized signed graph learning for single-cell gene regulatory network inference — https://4ort.xyz/entity/scsgl-kernelized-signed-graph-learning-for-single-cell-gene-regulatory-network-inference (retrieved 2026-05-24)

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