H2MM Tutorial

NIAID Data Ecosystem2026-03-13 收录

FRET数据分析

隐马尔可夫模型

数据链接：

https://zenodo.org/record/5566885 数据链接链接失效反馈

官方服务：

资源简介：

A set of tutorials for using H2MM_C. One is generic, the others specific to using FRETBursts, one for nsALEX measurements, the other for 𝜇sALEX.

创建时间：

2021-10-14

Model Checking for Hidden Markov Models

隐马尔可夫模型

模型检验

Residual analysis is a useful tool for checking lack of fit and for providing insight into model improvement. However, literature on residual analysis and the goodness of fit for hidden Markov models

DataCite Commons2024-02-29 更新90

The Geometry of Locomotive Behavioral States in C. elegans

行为分析

隐马尔可夫模型

We develop a new hidden Markov model-based method to analyze C elegans locomotive behavior and use this method to quantitatively characterize behavioral states. In agreement with previous work, we fin

NIAID Data Ecosystem50

Hidden Markov quantile graphical models

隐马尔可夫模型

时间序列分析

This paper introduces a novel hidden Markov quantile graphical model for capturing time-varying conditional dependence structures in multivariate time series. The proposed method allows the identifica

Taylor & Francis Group2025-10-28 更新40

Performance measures between on-board observers and HMMs.

车载行为识别

隐马尔可夫模型

Performance measures between on-board observers and HMMs.

NIAID Data Ecosystem70

Hidden Markov Models (HMMs) for Key Metabolism Enzymes

隐马尔可夫模型

代谢酶

87 HMMs for key metabolism enzymes used in the manuscript: Lavy et. al., (2019) Microbial communities across a hillslope-riparian transect shaped by proximity to the stream, groundwater table, and

DataCite Commons2020-08-27 更新40

H2MM Tutorial

资源简介：

相关数据集