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Tier I peer review of toxicological a***essment of the Tobacco Heating System 2.2. |
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| 2 |
Tier II peer review of toxicological a***essment of the Tobacco Heating System 2.2. |
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| 3 |
Overview of available methods for Risk Based Control within the European Union |
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| 4 |
Toxicological a***essment of Tobacco Heating System 2.2: findings from an independent peer review |
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| 5 |
Science peer review for the 21st century: a***essing scientific consensus for decision-making while managing conflict of interests, reviewer and process bias |
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| 6 |
Science and Decisions - Advancing Risk a***essment |
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| 7 |
The sbv IMPROVER Systems Toxicology Comp****tional Challenge: Identification of Human and Species-Independent Blood Response Markers as Predictors of Smoking Exposure and Cessation Status |
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| 8 |
Crowd-Sourced Verification of Comp****tional Methods and Data in Systems Toxicology: A Case Study with a Heat-Not-Burn Candidate Modified Risk Tobacco Product |
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| 9 |
Community-Reviewed Biological Network Models for Toxicology and Drug Discovery Applications |
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| 10 |
Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems |
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| 11 |
Enhancement of COPD biological networks using a web-based collaboration interface |
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| 12 |
On crowd-verification of biological networks |
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| 13 |
Understanding the limits of animal models as predictors of human biology: lessons learned from the sbv IMPROVER Species Translation Challenge |
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| 14 |
Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge |
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Inter-species pathway perturbation prediction via data-driven detection of functional homology |
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Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge |
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| 17 |
The species translation challenge-a systems biology perspective on human and rat bronchial epithelial cells |
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Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge |
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| 19 |
sbv IMPROVER Diagnostic Signature Challenge: Preface to this special issue |
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sbv IMPROVER diagnostic signature challenge: design and results |
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sbv IMPROVER Diagnostic Signature Challenge: scoring strategies |
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| 22 |
Methodological approach from the Best Overall Team in the sbv IMPROVER Diagnostic Signature Challenge |
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| 23 |
Rank-based transcriptional signatures |
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| 24 |
Learning diagnostic signatures from microarray data using L1-regularized logistic regression |
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| 25 |
Relapsing-remitting multiple sclerosis cla***ification using elastic net logistic regression on gene expression data |
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| 26 |
Kernel-based method for feature selection and disease diagnosis using transcriptomics data |
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| 27 |
Predicting COPD status with a random generalized linear model |
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| 28 |
Cla***ification of lung adenocarcinoma and squamous cell carcinoma samples based on their gene expression profile in the sbv IMPROVER Diagnostic Signature Challenge |
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| 29 |
Hierarchical-TGDR |
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| 30 |
Verification of systems biology research in the age of collaborative compet**ion |
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| 31 |
Industrial methodology for process verification in research (IMPROVER): toward systems biology verification |
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