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Titlebook: Computational Toxicology; Volume II Brad Reisfeld,Arthur N. Mayeno Book 2013 Springer Science+Business Media, LLC 2013 QSAR.biological netw

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樓主: Disaster
41#
發(fā)表于 2025-3-28 15:12:59 | 只看該作者
Gene Expression Networkspotential drawback of these data is that they are very rich in features or genes though cost considerations allow for the use of only relatively small sample sizes. A useful way of getting at biologically meaningful interpretations of the environmental or toxicological condition of interest would be
42#
發(fā)表于 2025-3-28 21:51:04 | 只看該作者
43#
發(fā)表于 2025-3-29 02:06:24 | 只看該作者
Regulatory Networkshypotheses and suitable biological experiments. All mathematical frameworks dedicated to biological regulatory networks must manage a large number of ., which are not directly measurable in the cell. The cornerstone to establish predictive models is the . of the possible parameter values. Formal fra
44#
發(fā)表于 2025-3-29 05:45:14 | 只看該作者
45#
發(fā)表于 2025-3-29 08:53:02 | 只看該作者
46#
發(fā)表于 2025-3-29 12:28:45 | 只看該作者
Biomonitoring-based Environmental Public Health Indicatorsatrices for biomonitoring, organization and standardization of surveillance programs, the use of intake and body burden data, and the interpretation of surveillance data are discussed. The concept of environmental public health indicators is demonstrated using the “Persistent organic pollutants in h
47#
發(fā)表于 2025-3-29 16:05:50 | 只看該作者
48#
發(fā)表于 2025-3-29 23:38:08 | 只看該作者
49#
發(fā)表于 2025-3-30 03:44:29 | 只看該作者
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發(fā)表于 2025-3-30 05:50:16 | 只看該作者
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