Date: Fri, 29 Mar 2024 02:45:21 +0700 (NOVT) Message-ID: <973644289.87914.1711655121124@ugene.net> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_87913_1526047065.1711655121124" ------=_Part_87913_1526047065.1711655121124 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html
ExpertDiscovery system applies an original knowledge discovery a= pproach (Relational Data Mining) [Scientific Discovery Web Site; Vityaev, 2= 006; Vityaev, Kovalerchuk, 2008; Vityaev, Kovalerchuk, 2004; Kovalerchuk, V= ityaev, 2000]. The approach was used in Discovery system which has been suc= cessfully applied for solution some particular problems in the fields of ps= ychophysics, cancer diagnostics and securities rates prediction. The heart = of the system is semantic probabilistic inference. [Vityaev, 2006].<= /p>
The idea of new knowledge discovery is to sequentially increase accuracy= of hypotheses so that on each step the hypotheses have the higher probabil= ity and definition level. Also the level of significance of the results is = tested by statistical criterions.
Di= scovery system implements semantic probabilistic inference with knowledge d= iscovery as a set of probability laws, the strongest probability laws and m= aximally specific laws.
ExpertDiscovery is an adaptation of the Discovery system which is config= ured to knowledge discovery in sets of nucleotide sequences, according to s= emantic probabilistic inference, as complex signals with specified paramete= rs.
ExpertDiscovery plugin in UGENE has the following advantages:
To open the ExpertDixcovery go to the Tools->Expert Discovery main menu item. More detailed information about ExpertDiscovery you = can find below: