Unblocking blockbusters: using boolean text-mining to optimise clinical trial design and timeline for novel anticancer drugs.
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Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer DrugsThe power of the web in cancer drug discovery and clinical trial design: research without a laboratory?BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs.
P2860
Unblocking blockbusters: using boolean text-mining to optimise clinical trial design and timeline for novel anticancer drugs.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 17 August 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Unblocking blockbusters: using ...... ne for novel anticancer drugs.
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Unblocking blockbusters: using ...... ne for novel anticancer drugs.
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type
label
Unblocking blockbusters: using ...... ne for novel anticancer drugs.
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Unblocking blockbusters: using ...... ne for novel anticancer drugs.
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prefLabel
Unblocking blockbusters: using ...... ne for novel anticancer drugs.
@en
Unblocking blockbusters: using ...... ne for novel anticancer drugs.
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P2860
P1433
P1476
Unblocking blockbusters: using ...... ne for novel anticancer drugs.
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P2093
Richard J Epstein
P2860
P304
P577
2009-08-17T00:00:00Z