Stanford Tissue Mapping Center
斯坦福大学组织绘图中心
基本信息
- 批准号:10414673
- 负责人:
- 金额:$ 10万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-19 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:CellsColonDataData SetDevelopmentFundingFutureHourHuman BioMolecular Atlas ProgramLabelLarge IntestineLiquid ChromatographyManualsMass Spectrum AnalysisResearch ProposalsRunningSamplingSavingsSmall IntestinesSystemTissuesUniversitiesbasecell typecomputer sciencecomputerized toolsdeep learningimprovedlearning networkmembernanosuccesstool
项目摘要
HuBMAP Supplemental Research Proposal Overview
We are requesting supplemental funds for two items:
1. Development of a new computational tool based on a recently developed deep-learning network called
ORCA to use spatial features with single-cell expression data from CODEX to more accurately transfer
cell type annotations to unlabeled CODEX datasets (50% funds are requested to fund a member from
Prof. Jure Leskovec from Computer Science at Stanford University to join our efforts at the Stanford
TMC). This tool has already been used to transfer cell type annotations to unlabeled HuBMAP donor
small intestine and large intestine single cell CODEX data, already saving nearly 100 hours of
annotations required for annotating 2 donors datasets, yet does not incorporate spatial annotations to
help with cell type annotations.
2. An EvoSep Liquid Chromatography system (50% funds are requested) for scProteomics. It is one of the
few systems which can run a true low nano flow rate gradient ( <100 nl/min). Low nano flow can
dramatically improve sensitivity which is the key for the success of scProteomics using mass
spectrometry.
HuBMAP补充研究计划概述
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Crowdsourced RNA design discovers diverse, reversible, efficient, self-contained molecular switches.
- DOI:10.1073/pnas.2112979119
- 发表时间:2022-05-03
- 期刊:
- 影响因子:11.1
- 作者:
- 通讯作者:
Potential and risks of artificial intelligence models: Common in medicine practice and special in pediatric urology.
人工智能模型的潜力和风险:在医学实践中常见,在儿科泌尿外科中特殊。
- DOI:10.1016/j.jpurol.2023.06.005
- 发表时间:2023
- 期刊:
- 影响因子:2
- 作者:Wen,Yi;Di,Huajie
- 通讯作者:Di,Huajie
Foundation models for generalist medical artificial intelligence
- DOI:10.1038/s41586-023-05881-4
- 发表时间:2023-04-13
- 期刊:
- 影响因子:64.8
- 作者:Moor, Michael;Banerjee, Oishi;Rajpurkar, Pranav
- 通讯作者:Rajpurkar, Pranav
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{{ truncateString('GARRY P NOLAN', 18)}}的其他基金
Harmonizing single cell and spatial transcriptomics across HuBMAP organs to generate reproducible and robust maps
协调 HuBMAP 器官的单细胞和空间转录组学,生成可重复且稳健的图谱
- 批准号:
10818848 - 财政年份:2022
- 资助金额:
$ 10万 - 项目类别:
Spatial-Genomic Integrative Multi-Species Analysis of Lymph Node Metastasis
淋巴结转移的空间基因组综合多物种分析
- 批准号:
10401199 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Application for Supplemental Funding from HUBMAP
向 HUBMAP 申请补充资金
- 批准号:
10228511 - 财政年份:2020
- 资助金额:
$ 10万 - 项目类别:
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