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Q34039465-D3BAC1E9-FE37-49C2-91B9-6C4D1662D48C
Q34039465-D3BAC1E9-FE37-49C2-91B9-6C4D1662D48C
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http://www.wikidata.org/entity/statement/Q34039465-D3BAC1E9-FE37-49C2-91B9-6C4D1662D48C
A comparison of methods for classifying clinical samples based on proteomics data: a case study for statistical and machine learning approaches.
P2860
Q34039465-D3BAC1E9-FE37-49C2-91B9-6C4D1662D48C
BestRank
Statement
http://www.wikidata.org/entity/statement/Q34039465-D3BAC1E9-FE37-49C2-91B9-6C4D1662D48C
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e2edfeffe8163c1659f56f153774d70ea3ea7479
P2860
Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy.