Machine learning approaches for the analysis of high-throughput screening datasets

M.F.M. Engels; H. de Winter; J.P.A.E. Tollenaere

Machine learning approaches for the analysis of high-throughput screening datasets

M.F.M. Engels, H. de Winter, J.P.A.E. Tollenaere

extern

Research output: Contribution to conference › Abstract › Other research output

Original language	Undefined/Unknown
Publication status	Published - 25 May 1999
Event	The 13th Molecular modelling workshop, Darmstadt, Germany - Duration: 25 May 1999 → 26 May 1999

Conference

Conference	The 13th Molecular modelling workshop, Darmstadt, Germany
Period	25/05/99 → 26/05/99

Bibliographical note

The 13th Molecular modelling workshop, Darmstadt, Germany

Keywords

Farmacie(FARM)

Cite this

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title = "Machine learning approaches for the analysis of high-throughput screening datasets",

keywords = "Farmacie(FARM)",

author = "M.F.M. Engels and \{de Winter\}, H. and J.P.A.E. Tollenaere",

note = "The 13th Molecular modelling workshop, Darmstadt, Germany; The 13th Molecular modelling workshop, Darmstadt, Germany ; Conference date: 25-05-1999 Through 26-05-1999",

year = "1999",

month = may,

day = "25",

language = "Undefined/Unknown",

}

TY - CONF

T1 - Machine learning approaches for the analysis of high-throughput screening datasets

AU - Engels, M.F.M.

AU - de Winter, H.

AU - Tollenaere, J.P.A.E.

N1 - The 13th Molecular modelling workshop, Darmstadt, Germany

PY - 1999/5/25

Y1 - 1999/5/25

KW - Farmacie(FARM)

M3 - Abstract

T2 - The 13th Molecular modelling workshop, Darmstadt, Germany

Y2 - 25 May 1999 through 26 May 1999

ER -