|
Showing 1 - 3 of
3 matches in All Departments
While many text mining projects emphasize retrieval and extraction,
text mining can be leveraged to discover new and previously unknown
information. Nowhere is the potential more apparent than in
pharmacogenomics-based drug discovery. Text mining can help
pharmaceutical researchers reduce the vast information overload
hindering pharmacogenomics-based drug discovery because it can aid
in the generation of rich novel information from large collections
of diverse scientific literature and research data. However the
pharmaceutical industry appears to be reluctant to innovate
bleeding-edge text mining technologies for drug discovery. The
present book re-frames text mining as an approach to automate the
generation of novel and interesting information, reviews successful
exemplary text mining applications, and examines a case study of a
leading pharmaceutical company within the book's proposed
novelty-generation paradigm. The present book is written for a wide
range of professionals and scholars, not only for information
scientists, industry analysts, and pharmaceutical executives, but
also for those interested in innovation studies and the automated
acceleration of discovery.
|
You may like...
Southpaw
Jake Gyllenhaal, Forest Whitaker, …
DVD
R99
R24
Discovery Miles 240
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Poor Things
Emma Stone, Mark Ruffalo, …
DVD
R449
R329
Discovery Miles 3 290
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.