Interpretation of nonlinear QSAR models applied to Ames mutagenicity data.
about
Bioclipse-R: integrating management and visualization of life science data with statistical analysisLarge-scale ligand-based predictive modelling using support vector machinesQSAR modeling: where have you been? Where are you going to?Self organising hypothesis networks: a new approach for representing and structuring SAR knowledgeExploiting Pharmacological Similarity to Identify Safety Concerns - Listen to What the Data Tells You.Machine learning methods in chemoinformaticsFeature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity.Chemical predictive modelling to improve compound quality.Benchmarking Variable Selection in QSAR.Universal Approach for Structural Interpretation of QSAR/QSPR Models.Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data.Integrated in silico approaches for the prediction of Ames test mutagenicity.Visual Interpretation of Kernel-Based Prediction Models.A confidence predictor for logD using conformal regression and a support-vector machineInterpretability of SAR/QSAR Models of any Complexity by Atomic Contributions.Proteochemometric modeling as a tool to design selective compounds and for extrapolating to novel targets
P2860
Q27062605-CF97414E-052B-44D5-8EC6-AE4FD2A6B706Q27902338-41655377-16F6-4664-87CE-E4DBC6C8912CQ28222668-7726B8A7-6CFC-43F9-8C20-BE65A31CAA53Q28658659-B2ADE19C-6C6E-4836-A114-FEEC057C58DDQ31118982-8DF294F0-C010-4272-9E73-3B347D52EFF0Q34271118-C1E50B10-B86D-4979-B8BF-3615843ED122Q37720371-B16A8ADA-8B17-41A7-9310-A22ED016FEC5Q38167262-8C9241BA-3215-491D-AC1D-75B85E41DC61Q38460370-7572E56B-C5CB-4BC9-A2F3-E695CD7CF861Q39537117-F09E6ED5-CE89-44DF-B32F-1AE7E2A4A28CQ42966532-D1164242-D095-4342-AAB1-5F7BA9E19214Q51330280-9B16860B-2522-4644-87C8-D5D4468EB3C7Q51536156-0365FA81-1E6B-46D3-AE4D-352E27E96CF6Q51791927-7C15716C-0BA3-41F7-9AF7-4287D0D9BBE3Q53691737-BEE3BAB4-DAE8-4C08-869B-091D144D7024Q54152447-2BED8266-BF65-480A-9EA5-B8CFE7977FEE
P2860
Interpretation of nonlinear QSAR models applied to Ames mutagenicity data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Interpretation of nonlinear QSAR models applied to Ames mutagenicity data.
@ast
Interpretation of nonlinear QSAR models applied to Ames mutagenicity data.
@en
type
label
Interpretation of nonlinear QSAR models applied to Ames mutagenicity data.
@ast
Interpretation of nonlinear QSAR models applied to Ames mutagenicity data.
@en
prefLabel
Interpretation of nonlinear QSAR models applied to Ames mutagenicity data.
@ast
Interpretation of nonlinear QSAR models applied to Ames mutagenicity data.
@en
P2093
P356
P1476
Interpretation of nonlinear QSAR models applied to Ames mutagenicity data.
@en
P2093
Ernst Ahlberg Helgee
Lars Carlsson
Scott Boyer
P304
P356
10.1021/CI9002206
P577
2009-11-01T00:00:00Z