Bioinformatics and Drug Discovery
| 企业作者: | |
|---|---|
| 其他作者: | , |
| 总结: | XI, 324 p. 63 illus., 54 illus. in color. text |
| 语言: | 英语 |
| 出版: |
New York, NY :
Springer New York : Imprint: Humana,
2019.
|
| 版: | 3rd ed. 2019. |
| 丛编: | Methods in Molecular Biology,
1939 |
| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-1-4939-9089-4 |
| 格式: | 电子 图书 |
书本目录:
- Miniaturized Checkerboard Assays to Measure Antibiotic Interactions
- High-Throughput Screening for Drug Combinations
- Post-Processing of Large Bioactivity Data
- How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM)
- A Guide to Dictionary-Based Text Mining
- Leveraging Big Data to Transform Drug Discovery
- How to Prepare a Compound Collection Prior to Virtual Screening
- Building a Quantitative Structure-Property Relationship (QSPR) Model
- Isomeric and Conformational Analysis of Small Drug and Drug-Like Molecules by Ion Mobility Mass Spectrometry (IM-MS)
- A Computational Platform and Guide for Acceleration of Novel Medicines and Personalized Medicine
- Omics Data Integration and Analysis for Systems Pharmacology
- Bioinformatics Based Tools and Software in Clinical Research: A New Emerging Area
- Text Mining for Drug Discovery
- Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning
- Drug Signature Detection Based on L1000 Genomic and Proteomic Big Data
- Drug Effect Prediction by Integrating L1000 Genomic and Proteomic Big Data
- A Bayesian Network Approach to Disease Subtype Discovery.