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...
随便聊聊,说点有价值的 酷,智谱刚刚发布了其全新端到端多模态模型:GLM-Realtime,近乎实时的视频理解与语音交互,融入了清唱功能,支持长达2分钟的记忆及Function Call功能 GLM-Realtime在实现完全实时交互的基础上,进一步支持Function Call功能,这使其不仅能够依靠自身知识和能力,还能灵活调用外部知识和工具,拓展更广泛的...
CharacterGLM已经开源并发布在始智AI 链接开源社区平台。CharacterGLM 能够平衡角色一致性、拟人化和吸引力三个关键维度,是最接近理想AI角色的模型。CharacterGLM 的整体表现优于大多数基准模型,能够在生成高质量、内容安全和知识正确的回复上表现出优越的性能。
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...
Background Generalized linear models (GLM) are widely used to model social, medical and ecological data. Choosing predictors for building a good GLM is a widely studied problem. Likelihood based...doi:10.1186/s40068-016-0060-7Sakate, D. M....
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...
混合算法-回归克里金(regression-Kriging):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 ...
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...
Background: Generalized linear models (GLM) are widely used to model social, medical and ecological data. Choosing predictors for building a good GLM is a widely studied problem. Likelihood based procedures like Akaike Information criterion and Bayes Information Criterion are u...