Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources

Toxicity Classification of Oxide Nanomaterials: Effects of Data Gap Filling and PChem Score-based Screening Approaches

(2018) My Kieu Ha et al.   Scientific Reports

Nano-QSAR in cell biology: Model of cell viability as a mathematical function of available eclectic data

(2017) Alla P. Toropova et al.   JOURNAL OF THEORETICAL BIOLOGY

QSAR model for predicting cell viability of human embryonic kidney cells exposed to SiO 2 nanoparticles

(2016) Serena Manganelli et al.   CHEMOSPHERE

How should the completeness and quality of curated nanomaterial data be evaluated?

(2016) Richard L. Marchese Robinson et al.   Nanoscale

Toxicity of Nano-Titanium Dioxide (TiO2-NP) Through Various Routes of Exposure: a Review

(2015) Muhammad Shakeel et al.   BIOLOGICAL TRACE ELEMENT RESEARCH

On a simple approach for determining applicability domain of QSAR models

(2015) Kunal Roy et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Including high-cardinality attributes in predictive models: A case study in churn prediction in the energy sector

(2015) Julie Moeyersoms et al.   DECISION SUPPORT SYSTEMS

A quasi-QSPR modelling for the photocatalytic decolourization rate constants and cellular viability (CV%) of nanoparticles by CORAL

(2015) A.P. Toropova et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Nanoinformatics: Emerging Databases and Available Tools

(2014) Suresh Panneerselvam et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

QSAR Modeling of Imbalanced High-Throughput Screening Data in PubChem

(2014) Alexey V. Zakharov et al.   Journal of Chemical Information and Modeling

The log-dynamic brain: how skewed distributions affect network operations

(2014) György Buzsáki et al.   NATURE REVIEWS NEUROSCIENCE

Nano-QSAR modeling for predicting biological activity of diverse nanomaterials

(2014) Kunwar P. Singh et al.   RSC Advances

Coping with Unbalanced Class Data Sets in Oral Absorption Models

(2013) Danielle Newby et al.   Journal of Chemical Information and Modeling

Development of structure–activity relationship for metal oxide nanoparticles

(2013) Rong Liu et al.   Nanoscale

Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling

(2013) L. Lubinski et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

Nano-SAR Development for Bioactivity of Nanoparticles with Considerations of Decision Boundaries

(2013) Rong Liu et al.   Small

InChI - the worldwide chemical structure identifier standard

(2013) Stephen Heller et al.   Journal of Cheminformatics

Comparison of Different Approaches to Define the Applicability Domain of QSAR Models

(2012) Faizan Sahigara et al.   MOLECULES

Evaluating the applicability domain in the case of classification predictive models for carcinogenicity based on the counter propagation artificial neural network

(2011) Natalja Fjodorova et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles

(2011) Tomasz Puzyn et al.   Nature Nanotechnology

Classification NanoSAR Development for Cytotoxicity of Metal Oxide Nanoparticles

(2011) Rong Liu et al.   Small

Best Practices for QSAR Model Development, Validation, and Exploitation

(2010) Alexander Tropsha   Molecular Informatics

Effects of nanomaterial physicochemical properties on in vivo toxicity

(2009) Kristin L. Aillon et al.   ADVANCED DRUG DELIVERY REVIEWS

Toxicity and Environmental Risks of Nanomaterials: Challenges and Future Needs

(2009) PARESH CHANDRA RAY et al.   JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART C-ENVIRONMENTAL CARCINOGENESIS & ECOTOXICOLOGY REVIEWS

SVMs Modeling for Highly Imbalanced Classification

(2008) Yuchun Tang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS