Results: In the present work, we propose a method for identifying driver genes using a Generalized Linear Regression Model (GLM) with Shrinkage and double-Weighted strategies based on Functional Impact, which is named GSW-FI. Firstly, an estimating model is proposed for assess...
基于对上述问题的思考以及对大模型的深入研究,清华 CoAI团队、聆心智能团队、GLM 技术团队提出 CharacterGLM,参数大小从 6B 到 66B,它是专门用于定制中文AI角色的模型,使用门槛更低,模型表现更好。CharacterGLM已经开源并发布在始智AI 链接开源社区平台。CharacterGLM 能够 发布于 2024-03-06 22:19・IP 属地北京 ...
回归克里金是广义线性模型 (Generalized Linear Model, GLM)和克里金法相结合的算法,也是最常见的混合算法。回归克里金首先使用GLM估计空间场中的系统性效应(determinstic effect),随后使用克里金法估计由回归残差构成的随机场。链接 发布于 2021-05-09 21:39 赞同 分享收藏 写下你的评论... 1 ...
We use single-cell RNA-sequencing datasets, after a series of normalization, to fit data into glm models repeatedly using 10-fold cross-validation over 100 iterations. Our evaluation criteria are glm's Precision, Recall, F1-Score, Area Under the Curve (AUC), and Runtime. Sco...
Prediction of Plant Species Biodiversity using Generalized Linear Model (GLM) and Boosted Regression Tree (BRT) in Eastern Rangelands of MazandaranMohammadi, MandanaJafarian, ZeinabTamartash, RezaKargar, MansourehJournal of Rangeland / Nashriyyah-i Marta̒...
The GZIGPFA model is based on a zero-inflated generalized Poisson (ZIGP) distribution for modeling microbiome count data. A link function between the generalized Poisson rate and the probability of excess zeros is established within the generalized linear model (GLM) framework...
A random generalized linear model (RGLM), constructed using the multiscale hierarchy, can accurately estimate carbon storage of the bamboo forest in the study area, with a fitting and test accuracy (R2) of 0.74 and 0.64, respectively. In contrast, pixel-based methods using the ...