In this article, we introduce a new method to estimate a directed acyclic graph (DAG) from multivariate functional data. We build on the notion of faithfulness that relates a DAG with a set of conditional independences among the random functions. We develop two linear operators, the conditional...
1, both the ST-graph-conv (blue) and FC-conv networks (green) are feed-forward models structured as directed acyclic graphs (DAGs). Hence, the ST-DAG-Att framework can learn a set of multi-scale functional time series and connectivity features that can be effectively fed into the output ...
Functional genomics is often described as one of the most important challenges in the post-genomics era. Now that many genomes have been sequenced, the next step is to understand the functions of all the gene-products. One of the most accessible genome-wide modalities that has proven useful fo...
networks of interacting and functionally annotated proteins can be converted into process graphs of inter-dependent function nodes (each node corresponding to interacting proteins with the same functional annotation). However, as proteins have multiple annotations, the process graph is ...
(Cellular Component, CC) in different depth. These terms are arranged hierarchically, like directed acyclic graphs (DAG) in which the vertex may have multiple parents and multiple relationships to their parents. In addition, each term inherits all the relationships of its parent(s). In this ...
The GO analysis, results tables, graphs, and visualization tools are accessed from the analysis and results panel (Figure 2, panel 2) that maintains data linkage assuring ease in examining selected data in different ways. GOFFA's efficiency and effectiveness for data interpretation results from ...
(GO) is divided into three orthogonal ontologies,biological process,molecular function, andcellular component. The three ontologies are represented as directed acyclic graphs (DAG) in which nodes correspond to terms and their relationships are represented by edges. Each node can have several parents ...
These constructed spatiotemporal graphs served as inputs for the STGC-GCAM model. Spatiotemporal graph convolution The STGC-GCAM model incorporates ST-GCN to extract valuable spatiotemporal features from fMRI data to aid in early AD diagnosis. The model takes node features X and the adjacency ...
An SCM is a Directed Acyclic Graph G=(X,E), where nodes ∈X are random variables and edges ∈E are the causal relationships between them. Causal relationships are described as a collection of structural assignments ≔Xi≔fi(Pa(Xi),Ui) that define the random variables Xi as a function...
(GO) is divided into three orthogonal ontologies,biological process,molecular function, andcellular component. The three ontologies are represented as directed acyclic graphs (DAG) in which nodes correspond to terms and their relationships are represented by edges. Each node can have several parents ...