Analyzing high-throughput screening data by neural networks.

被引：0
|
作者：
Gasteiger, J
Teckentrup, A
Briem, H
机构：
[1] Univ Erlangen Nurnberg, Comp Chem Ctr, D-91052 Erlangen, Germany
[2] Boehringer Ingelheim, Chem Forsch 2, D-55216 Ingelheim, Germany
来源：
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY | 2000年 / 219卷
关键词：
D O I：
暂无
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
124-COMP
引用
收藏
页码：U607 / U607
页数：1
相关论文
共 50 条
  • [31] Statistical practice in high-throughput screening data analysis
    Malo, N
    Hanley, JA
    Cerquozzi, S
    Pelletier, J
    Nadon, R
    NATURE BIOTECHNOLOGY, 2006, 24 (02) : 167 - 175
  • [32] Statistical practice in high-throughput screening data analysis
    Nathalie Malo
    James A Hanley
    Sonia Cerquozzi
    Jerry Pelletier
    Robert Nadon
    Nature Biotechnology, 2006, 24 : 167 - 175
  • [33] Creating knowledge from high-throughput screening data
    Engels, MFM
    SMALL MOLECULE-PROTEIN INTERACTIONS, 2003, 42 : 87 - 101
  • [34] Analyzing high-throughput assay data to advance the rapid screening of environmental chemicals for human reproductive toxicity
    Varshavsky, Julia R.
    Lam, Juleen
    Cooper, Courtney
    Allard, Patrick
    Fung, Jennifer
    Oke, Ashwini
    Kumar, Ravinder
    Robinson, Joshua F.
    Woodruff, Tracey J.
    REPRODUCTIVE TOXICOLOGY, 2025, 131
  • [35] An informatic pipeline for managing high-throughput screening experiments and analyzing data from stereochemically diverse libraries
    Carol A. Mulrooney
    David L. Lahr
    Michael J. Quintin
    Willmen Youngsaye
    Dennis Moccia
    Jacob K. Asiedu
    Evan L. Mulligan
    Lakshmi B. Akella
    Lisa A. Marcaurelle
    Philip Montgomery
    Joshua A. Bittker
    Paul A. Clemons
    Stephen Brudz
    Sivaraman Dandapani
    Jeremy R. Duvall
    Nicola J. Tolliday
    Andrea De Souza
    Journal of Computer-Aided Molecular Design, 2013, 27 : 455 - 468
  • [36] An informatic pipeline for managing high-throughput screening experiments and analyzing data from stereochemically diverse libraries
    Mulrooney, Carol A.
    Lahr, David L.
    Quintin, Michael J.
    Youngsaye, Willmen
    Moccia, Dennis
    Asiedu, Jacob K.
    Mulligan, Evan L.
    Akella, Lakshmi B.
    Marcaurelle, Lisa A.
    Montgomery, Philip
    Bittker, Joshua A.
    Clemons, Paul A.
    Brudz, Stephen
    Dandapani, Sivaraman
    Duvall, Jeremy R.
    Tolliday, Nicola J.
    De Souza, Andrea
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2013, 27 (05) : 455 - 468
  • [37] Analyzing editosome function in high-throughput
    Del Campo, Cristian
    Leeder, Wolf-Matthias
    Reissig, Paul
    Goeringer, H. Ulrich
    NUCLEIC ACIDS RESEARCH, 2020, 48 (17)
  • [38] Deriving knowledge through data mining high-throughput screening data
    Diller, DJ
    Hobbs, DW
    JOURNAL OF MEDICINAL CHEMISTRY, 2004, 47 (25) : 6373 - 6383
  • [39] Application of artificial neural networks to high-throughput synthesis of zeolites
    Moliner, M
    Serra, JM
    Corma, A
    Argente, E
    Valero, S
    Botti, V
    MICROPOROUS AND MESOPOROUS MATERIALS, 2005, 78 (01) : 73 - 81
  • [40] miRExpress: Analyzing high-throughput sequencing data for profiling microRNA expression
    Wang, Wei-Chi
    Lin, Feng-Mao
    Chang, Wen-Chi
    Lin, Kuan-Yu
    Huang, Hsien-Da
    Lin, Na-Sheng
    BMC BIOINFORMATICS, 2009, 10 : 328
12345