Nanopublications LDF server

Matches in Nanopublications for { ?s ?p "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en ?g. }

• NP927976.RAUibigKKwzXMGhgHyJYqSufBiwAE-56C1ecnJUHGdV1g130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP927976.RAUibigKKwzXMGhgHyJYqSufBiwAE-56C1ecnJUHGdV1g130_provenance.
• NP486571.RAeQO4CUE8xdQPVETsl4ZMfkjU6sfdZRD_6XAQKEV8s-o130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP486571.RAeQO4CUE8xdQPVETsl4ZMfkjU6sfdZRD_6XAQKEV8s-o130_provenance.
• assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
• assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
• assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
• assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
• assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
• NP117616.RAQGBAhGpia8I7SC9l_3X3b0Bx24JmulpF7oDQVnMhCfM130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP117616.RAQGBAhGpia8I7SC9l_3X3b0Bx24JmulpF7oDQVnMhCfM130_provenance.
• NP836048.RAxxYjUVpeSRNPXMBIzgYLwdFUaHP4RJKqI5kbXyb0iQk130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP836048.RAxxYjUVpeSRNPXMBIzgYLwdFUaHP4RJKqI5kbXyb0iQk130_provenance.
• NP600853.RAHM2ttX5Rk0Tvo3gvZ75KY9vii_R9fOcG-2SVKEydvs4130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP600853.RAHM2ttX5Rk0Tvo3gvZ75KY9vii_R9fOcG-2SVKEydvs4130_provenance.
• assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
• assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
• assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
• assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." provenance.
• NP111188.RAVNGxSsjOYYRQGUo4Eiev7lmzUsRyD2p8n58Lbhap2TQ130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP111188.RAVNGxSsjOYYRQGUo4Eiev7lmzUsRyD2p8n58Lbhap2TQ130_provenance.
• NP85743.RAo_L5F4iHgzbQSz-dGUpvpwOyQQpleeekynQLDZqHIgw130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP85743.RAo_L5F4iHgzbQSz-dGUpvpwOyQQpleeekynQLDZqHIgw130_provenance.
• NP627266.RAD8tVoCt1e08cuzIbkw0REmOa9-HcxcbFZ_idAnn_N34130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP627266.RAD8tVoCt1e08cuzIbkw0REmOa9-HcxcbFZ_idAnn_N34130_provenance.
• NP627269.RAbHz6DIOKom-ck1HBexuzXiRqVsWVe8qjof8lOKnsDaA130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP627269.RAbHz6DIOKom-ck1HBexuzXiRqVsWVe8qjof8lOKnsDaA130_provenance.
• NP663499.RAq0HE7c6PT1v8WnKKOCCA-nmU0MjnsCB1GQisep9MEiE130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP663499.RAq0HE7c6PT1v8WnKKOCCA-nmU0MjnsCB1GQisep9MEiE130_provenance.
• NP77438.RAMsv8D5sTeBVlJUJ1uoeE85uEZrzAm71HY7QZqg5g4Rs130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP77438.RAMsv8D5sTeBVlJUJ1uoeE85uEZrzAm71HY7QZqg5g4Rs130_provenance.
• NP627268.RApdL3sHSmNmfksvWQ6AlIxtusCP-nLoU9Ux_yp1msZGQ130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP627268.RApdL3sHSmNmfksvWQ6AlIxtusCP-nLoU9Ux_yp1msZGQ130_provenance.
• NP663479.RA_H3EbsP1D-moqWn907Zre3DAXZLgq2NcT7bDZb0btqo130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP663479.RA_H3EbsP1D-moqWn907Zre3DAXZLgq2NcT7bDZb0btqo130_provenance.
• NP627264.RAGORAuqEBLZMK97NjoOS0dtCoy2txvIokzykjT2yJpw8130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP627264.RAGORAuqEBLZMK97NjoOS0dtCoy2txvIokzykjT2yJpw8130_provenance.
• NP111190.RA2i1C8AXcdRzFkocyLEGuRTlvMBxN8N5Y7Sm92EA7GiI130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP111190.RA2i1C8AXcdRzFkocyLEGuRTlvMBxN8N5Y7Sm92EA7GiI130_provenance.
• NP111191.RA9VtSn6K65AnOnzSqyx7YJmPGumHW65ri5bEZ019tnqg130_assertion description "[In multifactor dimensionality reduction (MDR) analysis, the five-factor model including smoking, CCNH V270A, ERCC6 M1097V, RAD23B A249V and XPD D312N had the best ability to predict bladder cancer risk.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP111191.RA9VtSn6K65AnOnzSqyx7YJmPGumHW65ri5bEZ019tnqg130_provenance.