Research Training for Computation and Informatics in Biology and Medicine
生物学和医学计算和信息学研究培训
基本信息
- 批准号:8094375
- 负责人:
- 金额:$ 97.51万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-07-01 至 2012-06-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAlgorithmsBioinformaticsBiologicalBiologyClinicClinicalClinical DataCollaborationsComplexComputational ScienceComputer SimulationComputer softwareComputersComputing MethodologiesDataDevelopmentDisease susceptibilityEducational CurriculumEnvironmentFacultyInformaticsInformation TechnologyMedicineMolecularMolecular AnalysisPhasePlayProteinsRegulatory PathwayResearch PersonnelResearch TrainingScienceScientistStatistical MethodsStructureThinkingTraining ProgramsUniversitiesWisconsindesigngenome sequencingmultidisciplinarynext generationnovelphrasesprogramssystems researchtooltranslational medicinetreatment response
项目摘要
DESCRIPTION (provided by applicant):
The Computation and Informatics in Biology and Medicine (CIBM) training program is helping to produce the next generation of researchers of biomedical problems with strengths in both informatics and biology. The interplay between computational and statistical methods in the biomedical sciences continues to expand rapidly so that now both computer modeling and informatics play key roles. Our faculty and trainees have been developing robust algorithms for the analysis of molecular data. Increasingly, questions in the biosciences are being phrased for these more quantitative approaches, and computer scientists are discovering new computational approaches in attempting to address biological problems. Furthermore, the power of new hardware, algorithms, and software is transforming our thinking about complex systems research. These advances are only possible when computer scientists understand enough about the problems to design usable tools and when bioscientists understand what is possible using computational and information technologies.
CIBM has focused on the development of novel bioinformatics algorithms to analyze molecular data, including genome sequences, proteins (levels, interactions, structures), and regulatory pathways. We propose that for phase two of the program that we continue this focus and to further distinguish our program by adding a unique translational medicine component. In a collaboration with the Marshfield Clinic, our trainees will have the added opportunity to develop algorithms to predict clinical parameters, such as disease susceptibility or treatment response, from combined molecular and clinical data.
A strong training program, including a multidisciplinary core curriculum has been developed at CIBM, and the environment at the University of Wisconsin in biology and computational sciences provides a rich setting for research training at the graduate and postdoctoral level.
描述(由申请人提供):
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mark W. Craven其他文献
Learning to predict reading frames in E. coli DNA sequences
学习预测大肠杆菌 DNA 序列中的阅读框
- DOI:
- 发表时间:
1993 - 期刊:
- 影响因子:0
- 作者:
Mark W. Craven;J. Shavlik - 通讯作者:
J. Shavlik
Learning to Extract Relations from MEDLINE
- DOI:
- 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Mark W. Craven - 通讯作者:
Mark W. Craven
Relational Learning
关系学习
- DOI:
10.1007/springerreference_179431 - 发表时间:
2003 - 期刊:
- 影响因子:6.3
- 作者:
Mark W. Craven;Jude W. Shavlik - 通讯作者:
Jude W. Shavlik
Constructive Induction in Knowledge-Based Neural Networks
基于知识的神经网络中的构造归纳法
- DOI:
10.1016/b978-1-55860-200-7.50046-5 - 发表时间:
1991 - 期刊:
- 影响因子:0
- 作者:
G. Towell;Mark W. Craven;J. Shavlik - 通讯作者:
J. Shavlik
Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes
利用多层次的学习和多样化的证据来发现协调控制的基因
- DOI:
- 发表时间:
2000 - 期刊:
- 影响因子:0
- 作者:
Mark W. Craven;David Page;J. Shavlik;Joseph Bockhorst;J. Glasner - 通讯作者:
J. Glasner
Mark W. Craven的其他文献
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{{ truncateString('Mark W. Craven', 18)}}的其他基金
Linking Variants to Multi-scale Phenotypes via a Synthesis of Subnetwork Inference and Deep Learning
通过子网推理和深度学习的综合将变异与多尺度表型联系起来
- 批准号:
10627971 - 财政年份:2021
- 资助金额:
$ 97.51万 - 项目类别:
Linking Variants to Multi-scale Phenotypes via a Synthesis of Subnetwork Inference and Deep Learning
通过子网推理和深度学习的综合将变异与多尺度表型联系起来
- 批准号:
10297205 - 财政年份:2021
- 资助金额:
$ 97.51万 - 项目类别:
The Center for Predictive Computational Phenotyping-1 Overall
预测计算表型中心-1 总体
- 批准号:
9056632 - 财政年份:2014
- 资助金额:
$ 97.51万 - 项目类别:
The Center for Predictive Computational Phenotyping-1 Overall
预测计算表型中心-1 总体
- 批准号:
9270103 - 财政年份:2014
- 资助金额:
$ 97.51万 - 项目类别:
The Center for Predictive Computational Phenotyping-1 Overall
预测计算表型中心-1 总体
- 批准号:
8774800 - 财政年份:2014
- 资助金额:
$ 97.51万 - 项目类别:
The Center for Predictive Computational Phenotyping-1 Overall
预测计算表型中心-1 总体
- 批准号:
9266344 - 财政年份:2014
- 资助金额:
$ 97.51万 - 项目类别:
The Center for Predictive Computational Phenotyping-1 Overall
预测计算表型中心-1 总体
- 批准号:
8935748 - 财政年份:2014
- 资助金额:
$ 97.51万 - 项目类别:
Computation and Informatics in Biology and Medicine
生物学和医学中的计算和信息学
- 批准号:
10630324 - 财政年份:2002
- 资助金额:
$ 97.51万 - 项目类别:
Computation and Informatics in Biology and Medicine
生物学和医学中的计算和信息学
- 批准号:
10405951 - 财政年份:2002
- 资助金额:
$ 97.51万 - 项目类别:
Computation and Informatics in Biology and Medicine
生物学和医学中的计算和信息学
- 批准号:
8862531 - 财政年份:2002
- 资助金额:
$ 97.51万 - 项目类别:
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