View in EDS HTML Full Text PDF Full Text

LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer.

Saved in:
Bibliographic Details
Title: LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer.
Authors: Babalyan, K.1,2,3 babalyan@phystech.edu, Sultanov, R.1,2,3, Generozov, E.1, Sharova, E.1, Kostryukova, E.1, Larin, A.1, Kanygina, A.1,2, Govorun, V.1,2,3, Arapidi, G.1,2,3
Source: PLoS ONE. 11/2/2018, Vol. 13 Issue 11, p1-19. 19p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 132818467
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Babalyan%2C+K%2E%22">Babalyan, K.</searchLink><relatesTo>1,2,3</relatesTo><i> babalyan@phystech.edu</i><br /><searchLink fieldCode="AR" term="%22Sultanov%2C+R%2E%22">Sultanov, R.</searchLink><relatesTo>1,2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Generozov%2C+E%2E%22">Generozov, E.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sharova%2C+E%2E%22">Sharova, E.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kostryukova%2C+E%2E%22">Kostryukova, E.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Larin%2C+A%2E%22">Larin, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kanygina%2C+A%2E%22">Kanygina, A.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Govorun%2C+V%2E%22">Govorun, V.</searchLink><relatesTo>1,2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Arapidi%2C+G%2E%22">Arapidi, G.</searchLink><relatesTo>1,2,3</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 11/2/2018, Vol. 13 Issue 11, p1-19. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=132818467
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0204371
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1
    Titles:
      – TitleFull: LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Babalyan, K.
      – PersonEntity:
          Name:
            NameFull: Sultanov, R.
      – PersonEntity:
          Name:
            NameFull: Generozov, E.
      – PersonEntity:
          Name:
            NameFull: Sharova, E.
      – PersonEntity:
          Name:
            NameFull: Kostryukova, E.
      – PersonEntity:
          Name:
            NameFull: Larin, A.
      – PersonEntity:
          Name:
            NameFull: Kanygina, A.
      – PersonEntity:
          Name:
            NameFull: Govorun, V.
      – PersonEntity:
          Name:
            NameFull: Arapidi, G.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 02
              M: 11
              Text: 11/2/2018
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-print
              Value: 19326203
          Numbering:
            – Type: volume
              Value: 13
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: PLoS ONE
              Type: main
ResultId 1