Therefore, gene expression analysis can successfully group genes of the same functional pathways and predict functions for novel genes [ 2- 7].
In combining protein interaction network, highly connected coding genes linked by a given lncRNA were subsequently used to predict functions of the lncRNA through functional enrichment.
To enlarge the coverage, we can use a two-step prediction method: the first step will predict functions for a large number of proteins with lower confidence, and the second step uses CSIDOP for more accurate prediction.
Comparison with an existing function prediction algorithm resulted in similar predictions demonstrating the efficiency of our approach to predict functions of genes.
Thus, we can assess the reliability of the CSIDOP method by determining how well it worked in function prediction for those GO-characterized proteins and predict functions for proteins that are currently not characterized in GO in the test dataset.
Currently, we are integrating into a single protein-protein functional network, all pair-wise functional interactions obtained from different data sources, including genetic interactions, and functional genomics data, in order to predict functions, where possible, of uncharacterized proteins in the genome and to study the biology of the organism.
Such analyses have been used to predict functions of unknown genes based on coregulation with functionally known genes and for the identification of target genes of transcriptional regulators.
A common aim of high throughput gene expression studies is to identify genes with similar expression profiles since such genes may be functionally related and thus may be used to predict functions of unknown genes.
The functional profile of a phenotype might also be used to predict functions for uncharacterized genes and proteins implicated in this phenotype.
Top thirty biological processes enriched by 435 ranked positional candidates Network motifs that are the indicators of specific functional modules in cellular networks [ 12, 13] were used to predict functions for hypothetical HWEc genes.
Partial differential equations govern, or predict, functions of physical phenomena, like heat, sound and electromagnetism.
