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A heuristic approach to determine an appropriate number of topics in topic modeling

BMC bioinformatics, 2015-09, Vol.16 Suppl 13 (S13), p.S8-S8, Article S8

2015

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Controls oriented reduced order modeling of lithium deposition on overcharge

Journal of power sources, 2012-07, Vol.209, p.318-325

2012

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Estrogenic Activity Data Extraction and in Silico Prediction Show the Endocrine Disruption Potential of Bisphenol A Replacement Compounds

Chemical research in toxicology, 2015-09, Vol.28 (9), p.1784-1795

2015

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Controls oriented reduced order modeling of solid-electrolyte interphase layer growth

Journal of power sources, 2012-07, Vol.209, p.282-288

2012

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The Toxicology of Perfluorooctanoate

Critical reviews in toxicology, 2004-07, Vol.34 (4), p.351-384

2004

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Reproducible and reliable microarray results through quality control: good laboratory proficiency and appropriate data analysis practices are essential

Current opinion in biotechnology, 2008-02, Vol.19 (1), p.10-18

2008

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Versatility or promiscuity: the estrogen receptors, control of ligand selectivity and an update on subtype selective ligands

International journal of environmental research and public health, 2014-08, Vol.11 (9), p.8709-8742

2014

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Text mining for identifying topics in the literatures about adolescent substance use and depression

BMC public health, 2016-03, Vol.16 (279), p.279-8, Article 279

2016

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Comparing Next-Generation Sequencing and Microarray Technologies in a Toxicological Study of the Effects of Aristolochic Acid on Rat Kidneys

Chemical research in toxicology, 2011-09, Vol.24 (9), p.1486-1493

2011

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The EDKB: an established knowledge base for endocrine disrupting chemicals

BMC bioinformatics, 2010-10, Vol.11 Suppl 6 (S6), p.S5-S5, Article S5

2010

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Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential

BMC bioinformatics, 2005-07, Vol.6 Suppl 2 (S2), p.S12-S12, Article S12

2005

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Quantitative structure-activity relationship methods: Perspectives on drug discovery and toxicology

Environmental toxicology and chemistry, 2003-08, Vol.22 (8), p.1666-1679

2003

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DNA Microarrays Are Predictive of Cancer Prognosis: A Re-evaluation

Clinical cancer research, 2010-01, Vol.16 (2), p.629-636

2010

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Study of 202 Natural, Synthetic, and Environmental Chemicals for Binding to the Androgen Receptor

Chemical research in toxicology, 2003-10, Vol.16 (10), p.1338-1358

2003

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Assessment of Prediction Confidence and Domain Extrapolation of Two Structure-Activity Relationship Models for Predicting Estrogen Receptor Binding Activity

Environmental health perspectives, 2004-08, Vol.112 (12), p.1249-1254

2004

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Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships

Alternatives to laboratory animals, 2005, Vol.33 (2), p.155-173

2005

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Technical reproducibility of genotyping SNP arrays used in genome-wide association studies

PloS one, 2012-09, Vol.7 (9), p.e44483-e44483

2012

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Microarray scanner calibration curves: characteristics and implications

BMC bioinformatics, 2005-07, Vol.6 Suppl 2 (S2), p.S11-S11, Article S11

2005

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Structure−Activity Relationships for a Large Diverse Set of Natural, Synthetic, and Environmental Estrogens

Chemical research in toxicology, 2001-03, Vol.14 (3), p.280-294

2001

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Selecting a single model or combining multiple models for microarray-based classifier development?--a comparative analysis based on large and diverse datasets generated from the MAQC-II project

BMC bioinformatics, 2011-10, Vol.12 Suppl 10 (S10), p.S3-S3, Article S3

2011

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Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples

BMC bioinformatics, 2008-08, Vol.9 Suppl 9 (S9), p.S17-S17, Article S17

2008

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GOFFA: gene ontology for functional analysis--a FDA gene ontology tool for analysis of genomic and proteomic data

BMC bioinformatics, 2006-09, Vol.7 Suppl 2 (Suppl 2), p.S23-S23, Article S23

2006

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Phytoestrogens and Mycoestrogens Bind to the Rat Uterine Estrogen Receptor

The Journal of nutrition, 2002-04, Vol.132 (4), p.658-664

2002

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Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models

Journal of Chemical Information and Computer Sciences, 2003-03, Vol.43 (2), p.525-531

2003

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Very Important Pool (VIP) genes--an application for microarray-based molecular signatures

BMC bioinformatics, 2008-08, Vol.9 Suppl 9 (Suppl 9), p.S9-S9, Article S9

2008

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A heuristic approach to determine an appropriate number of topics in topic modeling

Controls oriented reduced order modeling of lithium deposition on overcharge

Estrogenic Activity Data Extraction and in Silico Prediction Show the Endocrine Disruption Potential of Bisphenol A Replacement Compounds

Controls oriented reduced order modeling of solid-electrolyte interphase layer growth

The Toxicology of Perfluorooctanoate

Reproducible and reliable microarray results through quality control: good laboratory proficiency and appropriate data analysis practices are essential

Versatility or promiscuity: the estrogen receptors, control of ligand selectivity and an update on subtype selective ligands

Text mining for identifying topics in the literatures about adolescent substance use and depression

Comparing Next-Generation Sequencing and Microarray Technologies in a Toxicological Study of the Effects of Aristolochic Acid on Rat Kidneys

The EDKB: an established knowledge base for endocrine disrupting chemicals

Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential

Quantitative structure-activity relationship methods: Perspectives on drug discovery and toxicology

DNA Microarrays Are Predictive of Cancer Prognosis: A Re-evaluation

Study of 202 Natural, Synthetic, and Environmental Chemicals for Binding to the Androgen Receptor

Assessment of Prediction Confidence and Domain Extrapolation of Two Structure-Activity Relationship Models for Predicting Estrogen Receptor Binding Activity

Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships

Technical reproducibility of genotyping SNP arrays used in genome-wide association studies

Microarray scanner calibration curves: characteristics and implications

Structure−Activity Relationships for a Large Diverse Set of Natural, Synthetic, and Environmental Estrogens

Selecting a single model or combining multiple models for microarray-based classifier development?--a comparative analysis based on large and diverse datasets generated from the MAQC-II project

Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples

GOFFA: gene ontology for functional analysis--a FDA gene ontology tool for analysis of genomic and proteomic data

Phytoestrogens and Mycoestrogens Bind to the Rat Uterine Estrogen Receptor

Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models

Very Important Pool (VIP) genes--an application for microarray-based molecular signatures

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