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Journal of Chemical Information and Computer Sciences
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June 28, 2002
Structure/response correlations and similarity/diversity analysis by GETAWAY descriptors. 1. Theory of the novel 3D molecular descriptors
Viviana Consonni, Roberto Todeschini, Manuela Pavan
Journal of Chemical Information and Modeling
|
January 23, 2019
Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project
Francesca Grisoni, Viviana Consonni, Davide Ballabio
Analytica Chimica Acta
|
November 27, 2007
Classification of multiway analytical data based on MOLMAP approach
Davide Ballabio, Viviana Consonni, Roberto Todeschini
Integrated Environmental Assessment and Management
|
November 18, 2018
Acceptable-by-design QSARs to predict the dietary biomagnification of organic chemicals in fish
Francesca Grisoni, Viviana Consonni, Marco Vighi
Methods in Molecular Biology (Clifton, N.J.)
|
October 19, 2018
Impact of Molecular Descriptors on Computational Models
Francesca Grisoni, Viviana Consonni, Roberto Todeschini
Journal of Chemical Information and Modeling
|
June 17, 2009
Comments on the definition of the Q2 parameter for QSAR validation
Viviana Consonni, Davide Ballabio, Roberto Todeschini
Chemosphere
|
June 8, 2018
Detecting the bioaccumulation patterns of chemicals through data-driven approaches
Francesca Grisoni, Viviana Consonni, Marco Vighi
Journal of Chemical Information and Computer Sciences
|
June 28, 2002
Structure/response correlations and similarity/diversity analysis by GETAWAY descriptors. 2. Application of the novel 3D molecular descriptors to QSAR/QSPR studies
Viviana Consonni, Roberto Todeschini, Manuela Pavan, et al.
Molecular Informatics
|
December 15, 2018
Integrated QSAR Models to Predict Acute Oral Systemic Toxicity
Davide Ballabio, Francesca Grisoni, Viviana Consonni, et al.
Analytica Chimica Acta
|
December 17, 2009
Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data. Part 3. Variable selection in classification
Davide Ballabio, Viviana Consonni, Andrea Mauri, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 45) with videos related to
Sort By:
Page
of 5
Journal of Chemical Information and Computer Sciences
|
June 28, 2002
Structure/response correlations and similarity/diversity analysis by GETAWAY descriptors. 1. Theory of the novel 3D molecular descriptors
Viviana Consonni, Roberto Todeschini, Manuela Pavan
Journal of Chemical Information and Modeling
|
January 23, 2019
Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project
Francesca Grisoni, Viviana Consonni, Davide Ballabio
Analytica Chimica Acta
|
November 27, 2007
Classification of multiway analytical data based on MOLMAP approach
Davide Ballabio, Viviana Consonni, Roberto Todeschini
Integrated Environmental Assessment and Management
|
November 18, 2018
Acceptable-by-design QSARs to predict the dietary biomagnification of organic chemicals in fish
Francesca Grisoni, Viviana Consonni, Marco Vighi
Methods in Molecular Biology (Clifton, N.J.)
|
October 19, 2018
Impact of Molecular Descriptors on Computational Models
Francesca Grisoni, Viviana Consonni, Roberto Todeschini
Journal of Chemical Information and Modeling
|
June 17, 2009
Comments on the definition of the Q2 parameter for QSAR validation
Viviana Consonni, Davide Ballabio, Roberto Todeschini
Chemosphere
|
June 8, 2018
Detecting the bioaccumulation patterns of chemicals through data-driven approaches
Francesca Grisoni, Viviana Consonni, Marco Vighi
Journal of Chemical Information and Computer Sciences
|
June 28, 2002
Structure/response correlations and similarity/diversity analysis by GETAWAY descriptors. 2. Application of the novel 3D molecular descriptors to QSAR/QSPR studies
Viviana Consonni, Roberto Todeschini, Manuela Pavan, et al.
Molecular Informatics
|
December 15, 2018
Integrated QSAR Models to Predict Acute Oral Systemic Toxicity
Davide Ballabio, Francesca Grisoni, Viviana Consonni, et al.
Analytica Chimica Acta
|
December 17, 2009
Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data. Part 3. Variable selection in classification
Davide Ballabio, Viviana Consonni, Andrea Mauri, et al.
Page
of 5