课题基金 / 基金详情

III: Small: Novel Statistical Data Analysis Approaches for Mining Human Genetics Datasets

III: Small: Novel Statistical Data Analysis Approaches for Mining Human Genetics Datasets
III:小型:挖掘人类遗传学数据集的新颖统计数据分析方法
批准号:
1715202
负责人:
Petros Drineas
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2023-08-31

项目摘要

项目成果

Petros Drineas的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The advent of modern genotyping and sequencing technologies has revolutionized human genetics research, allowing researchers to truly understand how different we are from one another. Large datasets describing the common patterns of human genetic variation may be easily thought of as matrices, with the rows representing individuals and the columns representing loci in the genome that correspond to common polymorphisms. The broader impact of such datasets cannot be overemphasized: they are a key resource for researchers to use to find genes affecting health, disease, and responses to drugs and environmental factors, as well as understanding the evolutionary and biological history of our species. Extracting useful information from such datasets promotes the progress of science and, at the same time, advances national health, prosperity and welfare. This project will bridge the gap between state-of-the-art algorithms for data analysis developed in the theoretical computer science and applied mathematics communities and the application of such algorithms to the analysis of the increasingly larger volume of datasets in the human genetics community.In the context of this project, first, from an algorithmic perspective, the project team will design and analyze novel algorithms for three prototypical, fundamental research topics that combine linear algebra and randomization, namely sparse Principal Components Analysis, matrix completion, and linear (or kernel) discriminant analysis. All three topics have been widely popular in the theoretical computer science, machine learning, and applied mathematics communities. Yet these research topics have been essentially overlooked by the population genetics community. Second, from a population genetics perspective, the team will apply the developed algorithms to gain novel insights regarding population structure, ancestry informative markers, and natural selection, as well as improve imputation methods and Genome-Wide Association Studies (GWAS) data analysis. All three methods will be evaluated on population genetics datasets that are available to the PIs. The project will train graduate students and will disseminate the results of the research to a broad community of applied mathematicians, theoretical computer scientists, and population geneticists.
期刊论文(15)
专著(0)
科研奖励(0)
会议论文
Genetic history of the population of Crete
克里特岛人口的遗传史
DOI: 10.1111/ahg.12328
发表时间: 2019
期刊: Annals of Human Genetics
影响因子: 1.9
作者: [Drineas, Petros, Tsetsos, Fotis, Plantinga, Anna, Lazaridis, Iosif, Yannaki, Evangelia, Razou, Anna, Kanaki, Katerina, Michalodimitrakis, Manolis, Perez‐Jimenez, Francisco, De Silvestro, Giustina]
通讯作者: De Silvestro, Giustina
De Novo Sequence and Copy Number Variants Are Strongly Associated with Tourette Disorder and Implicate Cell Polarity in Pathogenesis.
从头序列和拷贝数变体与图雷氏障碍障碍密切相关,并暗示细胞极性在发病机理中。
DOI: 10.1016/j.celrep.2018.08.082
发表时间: 2018-09-25
期刊: Cell reports
影响因子: 8.8
作者: [Wang S, Mandell JD, Kumar Y, Sun N, Morris MT, Arbelaez J, Nasello C, Dong S, Duhn C, Zhao X, Yang Z, Padmanabhuni SS, Yu D, King RA, Dietrich A, Khalifa N, Dahl N, Huang AY, Neale BM, Coppola G, Mathews CA, Scharf JM, Tourette International Collaborative Genetics Study (TIC Genetics), Tourette Syndrome Genetics Southern and Eastern Europe Initiative (TSGENESEE), Tourette Association of America International Consortium for Genetics (TAAICG), Fernandez TV, Buxbaum JD, De Rubeis S, Grice DE, Xing J, Heiman GA, Tischfield JA, Paschou P, Willsey AJ, State MW]
通讯作者: State MW
DOI: 10.1016/j.biopsych.2023.01.023
发表时间: 2024-06-24
期刊: BIOLOGICAL PSYCHIATRY
影响因子: 10.6
作者: [Tsetsos,Fotis, Topaloudi,Apostolia, Paschou,Peristera]
通讯作者: Paschou,Peristera
CluStrat: A Structure Informed Clustering Strategy for Population Stratification
CluStrat:用于人口分层的结构知情聚类策略
DOI: 10.1007/978-3-030-45257-5_19
发表时间: 2020
期刊: Research in Computational Molecular Biology
影响因子: --
作者: [Bose, Aritra, Burch, Myson, Chowdhury, Agniva, Paschou, Peristera, Drineas, Petros]
通讯作者: Drineas, Petros
9
    NSF-BSF: AF: Collaborative Research: Small: Randomized preconditioning of iterative processes: Theory and practice
    • 批准号:
      2209509
    • 项目类别:
      Standard Grant
    • 资助金额:
      $29.87万
    • 财政年份:
      2022
    • 负责人:
      Petros Drineas
    • 依托单位:
    Collaborative Research: Randomized Numerical Linear Algebra for Large Scale Inversion, Sparse Principal Component Analysis, and Applications
    • 批准号:
      2152687
    • 项目类别:
      Standard Grant
    • 资助金额:
      $10.0万
    • 财政年份:
      2022
    • 负责人:
      Petros Drineas
    • 依托单位:
    CCF-BSF: AF: Small: Collaborative Research: Practice-Friendly Theory and Algorithms for Linear Regression Problems
    • 批准号:
      1814041
    • 项目类别:
      Standard Grant
    • 资助金额:
      $24.99万
    • 财政年份:
      2018
    • 负责人:
      Petros Drineas
    • 依托单位:
    FRG: Collaborative Research: Randomization as a Resource for Rapid Prototyping
    • 批准号:
      1760353
    • 项目类别:
      Standard Grant
    • 资助金额:
      $34.32万
    • 财政年份:
      2018
    • 负责人:
      Petros Drineas
    • 依托单位:
    国内基金
    海外基金
    昼夜节律性small RNA在血斑形成时间推断中的法医学应用研究
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
    • 依托单位:
    tRNA-derived small RNA上调YBX1/CCL5通路参与硼替佐米诱导慢性疼痛的机制研究
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      10.0万元
    • 批准年份:
      2022
    • 负责人:
      张祥忠
    • 依托单位:
    Small RNA调控I-F型CRISPR-Cas适应性免疫性的应答及分子机制
    Small RNAs调控解淀粉芽胞杆菌FZB42生防功能的机制研究
    • 批准号:
      31972324
    • 项目类别:
      面上项目
    • 资助金额:
      58.0万元
    • 批准年份:
      2019
    • 负责人:
      高学文
    • 依托单位: