
IndraLab
Statements
sparser
"Current formats of causal statements range from the simplest, with only two entities and the causal relationship [e.g. the Simple Interaction Format (SIF) with ‘A activates B’ or ‘A -> B’], to more complex statements including contextual description [e.g. BEL (Biological Expression Language) ( xref ; xref ), GO-CAM ( xref ) and PSI-MITAB2.8 ( xref )]."
sparser
"We focus on our progress on the curation and public release of GO-CAM models, the continuous collaborative work to refine the GO ontology, the review and improvement of the quality of our annotations, and the expansion of the usability of GO through a redesigned website, documentation, data access, visualization widget and 15 years of historical archives of the GO knowledgebase."
sparser
"GO-CAM, our new framework for defining and representing gene functions with more accuracy, consistency and precision, is being used to create a growing set of curated biological models, and we encourage the analysis tool developer community to explore the new format and potential new applications of these models."
sparser
"For example, high-throughput experiments for gene expression generate hundreds or sometimes thousands of differentially expressed genes (DEGs), and their associated biological functions can be summarized through enrichment analysis over GO terms. xref Gene-level annotations defined in GO can also be further elaborated into a network of biological pathway annotations via the recently developed GO Causal Activity Modeling (GO-CAM) models to represent the integrative effect of DEGs on the level of biological pathways."
sparser
"In addition, we ingest GO Causal Activity Models (GO-CAM) models that capture biological systems such as protein pathways, including those important in SARS-CoV-2 infection(Thomas et al., 2019).
generate positive edges, a set of positive test edges equal in number to [(1 -train_fraction) * number of edges in input graph] is selected from the edges in the input graph, where train_fraction is a number between 0 and 1 indicating the fraction of the graph to use for training."
sparser
"On the other hand, GO-CAM and BEL allow the representation of causality from an activity-based view for the biological entities, and a process-based view for biological reactions, meaning that the focus is not put on biological entities per se but rather on functions or actions that they can perform."
sparser
"The biggest change has been in biological process terms, due to refactoring the multi-organism part of the Biological Process branch and the obsoletion of combinatorial terms (e.g. GO:0100052, negative regulation of G1/S transition of mitotic cell cycle by transcription from RNA polymerase II promoter) made up of other GO terms which can now be linked using GO-CAM."
sparser
"In GO-CAM, each model is represented as a set of triples ( subject - relation -object, with brackets {} as a set container), e.g. { ABCA1 enables cholesterol transporter activity ; cholesterol transporter activity occurs in plasma membrane , and cholesterol transporter activity part_of cholesterol homeostasis}."
sparser
"In parallel, the Gene Ontology [GO ( xref )], since 2003, has included a ‘regulation of biological process’ (GO:0050789) branch that has been widely used to annotate causal interactions ( xref ), and has recently been extended into the GO Causal Activity Models (GO-CAM) framework ( xref )."