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GTEx v8 Elastic Net prediction models

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Mendeley Data2024-03-27 更新2024-06-30 收录
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Elastic Net prediction models and LD reference (PrediXcan/MultiXcan support, individual-level or summary-level versions) # Data usage policy When using this data, you must acknowledge the source by citing the publication "Widespread dose-dependent effects of RNA expression and splicing on complex diseases and traits" (https://doi.org/10.1101/814350). # Disclaimer The data is provided "as is", and the authors assume no responsibility for errors or omissions. The User assumes the entire risk associated with its use of these data. The authors shall not be held liable for any use or misuse of the data described and/or contained herein. The User bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The user is responsible to comply with any data usage policy from the original GWAS studies; refer to the list of traits described [here](https://www.biorxiv.org/content/10.1101/814350v1) to identify their respective Consortia's requirements. THE DATA IS PROVIDED WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATA OR THE USE OR OTHER DEALINGS IN THE DATA.

# 弹性网预测模型与连锁不平衡(Linkage Disequilibrium, LD)参考数据集(支持PrediXcan/MultiXcan,包含个体水平与汇总水平两个版本) # 数据使用政策 使用本数据集时,您需通过引用以下文献以注明数据来源:《Widespread dose-dependent effects of RNA expression and splicing on complex diseases and traits》(https://doi.org/10.1101/814350)。 # 免责声明 本数据集按“现状”提供,作者不对数据中的错误或疏漏承担任何责任。使用者需自行承担使用本数据集相关的全部风险。作者不对本数据集描述及/或包含的任何数据的使用或误用承担法律责任。使用者需自行判断本数据集是否适用于其特定用途。本数据集所包含的信息并不优于其原始来源,数据集的规模与准确性可能存在差异。本数据集可能不具备潜在使用者所期望的准确性、分辨率、完整性、时效性或其他适配其应用场景的特性。使用者需负责遵守原始全基因组关联研究(Genome-Wide Association Study, GWAS)的各项数据使用政策;可通过[此处](https://www.biorxiv.org/content/10.1101/814350v1)查阅相关性状列表,以明确各联盟的具体要求。 本数据集不提供任何形式的明示或默示担保,包括但不限于适销性、特定用途适用性以及不侵权的担保。在任何情况下,无论基于合同、侵权或其他法律理论,作者或版权方均不对因使用本数据集或与本数据集相关的任何索赔、损害或其他责任承担责任。

创建时间:
2023-06-28
搜集汇总
数据集介绍
GTEx v8 Elastic Net prediction models 数据集图片
背景与挑战
背景概述
该数据集是GTEx v8弹性网络预测模型,包含用于基因表达和剪接分析的弹性网络模型及LD参考数据,支持PrediXcan和MultiXcan工具,适用于个体或汇总水平的复杂疾病和性状研究。数据集总大小约26.6 GB,由多机构研究人员共同开发,需引用指定预印本并使用CC BY 4.0许可。
以上内容由遇见数据集搜集并总结生成
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