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- source_evidence_literature type ECO_0000212 NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_provenance.
- NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_assertion description "[The data sets used in our experiments are breast cancer, central nervous system, colon tumor, prostate cancer, acute lymphoblastic leukemia, and lung cancer. experimental results showed that our node influence based method (NIM) is more efficient and robust than the support vector machine, K-nearest neighbor, C4.5, naive Bayes, and CART.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_provenance.
- NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_assertion evidence source_evidence_literature NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_provenance.
- NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_assertion SIO_000772 25180045 NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_provenance.
- NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_assertion wasDerivedFrom befree-2016 NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_provenance.
- NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_assertion wasGeneratedBy ECO_0000203 NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_provenance.
- befree-2016 importedOn "2016-02-19" NP1216127.RAXnC7nXpcx-mTGFzAhjd3iDSYQFDFPwkVSEAGkoPaFKc130_provenance.