Computation and Informatics in Biology and Medicine

生物学和医学中的计算和信息学

基本信息

  • 批准号:
    8862531
  • 负责人:
  • 金额:
    $ 104.48万
  • 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 2016-06-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The University of Wisconsin's (UW) Computation and Informatics in Biology and Medicine Training Program (CIBM) is proposing to help train the next generation of computational scientists in health and disease research. We will extend our prior collaboration with the Marshfield Clinical Research Foundation to also fully integrate our program with UW's Institute for Clinical and Translational Research (ICTR). The interplay between computational and statistical methods and the biomedical sciences continues to expand rapidly. Both computer modeling and informatics now play a key role in both biology and medicine, and our researchers have been developing novel state-of-the-art algorithms for the analysis of molecular and clinical research data. The organizations involved in CIBM are strong. UW has a total externally funded research portfolio of $1B/year and is a leading research university. A good fraction of this research is in the biomedical sciences and related areas, and a number of departments involved in CIBM are regularly in the 'top ten' lists in various polls, including Computer Sciences, Genetics, Biochemistry, Statistics, Chemical and Biological Engineering, and others. We will continue to build on these strengths as we move more to health and disease-related research training. The strength of CIBM has been to bring strong algorithmic thinking from computer scientists, statisticians, and informaticists to projects and domains where challenging problems lie. We will continue to use this model going forward. We have demonstrated strong success in recruiting and training graduate students and postdoctoral fellows. This is evidenced by the number of new faculty we have produced in the biomedical informatics area, the development of new externally funded multi-disciplinary research projects, and our involvement in minority recruitment and placement. To buttress these new training endeavors we have added new members to our CIBM management committee, including Prof. Eneida Mendonga, a new faculty member in Clinical Research Informatics at UW's ICTR, and Dr. Amit Acharya, a dental informaticist from the Marshfield Clinic. Our curriculum now includes courses closely connected to clinical and translational research, and we propose to include new opportunities for postdoctoral dental informatics research. The program will be well positioned to serve the country with highly trained researchers in biomedical informatics.
描述(由申请人提供):威斯康星大学(UW)生物学和医学计算与信息学培训计划(CIBM)提议帮助培训健康和疾病研究领域的下一代计算科学家。我们将扩大之前与马什菲尔德临床研究基金会的合作,并将我们的项目与华盛顿大学临床与转化研究所(ICTR)充分整合。计算和统计方法与生物医学科学之间的相互作用继续迅速扩大。计算机建模和信息学现在在生物学和医学中都发挥着关键作用,我们的研究人员一直在开发新的最先进的算法来分析分子和临床研究数据。参与CIBM的组织都很强大。华盛顿大学拥有每年10亿美元的外部资助研究组合,是一所领先的研究型大学。这项研究的很大一部分是在生物医学科学和相关领域,一些涉及CIBM的部门经常在各种民意调查中名列“前十”,包括计算机科学、遗传学、生物化学、统计学、化学和生物工程等。我们将在这些优势的基础上继续努力,更多地开展与健康和疾病有关的研究培训。CIBM的优势在于将计算机科学家、统计学家和信息学家的强大算法思维带到具有挑战性的问题所在的项目和领域。我们将继续使用这种模式。

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
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

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:
    $ 104.48万
  • 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:
    $ 104.48万
  • 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:
    $ 104.48万
  • 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:
    $ 104.48万
  • 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:
    $ 104.48万
  • 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:
    $ 104.48万
  • 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:
    $ 104.48万
  • 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:
    $ 104.48万
  • 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:
    $ 104.48万
  • 项目类别:
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
  • 批准号:
    8094375
  • 财政年份:
    2002
  • 资助金额:
    $ 104.48万
  • 项目类别:

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