ArticlePloS one2015
A hybrid computational method for the discovery of novel reproduction-related genes.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A new method for identifying causal genes of schizophrenia and anti-tuberculosis drug-induced hepatotoxicity.Scientific reports · 2016Pooled it
- Identification of prognostic genes in colorectal cancer through transcription profiling of multi-stage carcinogenesis.Oncology letters · 2019Article
- Cross talk of chromosome instability, CpG island methylator phenotype and mismatch repair in colorectal cancer.Oncology letters · 2018Article
- Network-Based Method for Identifying Co- Regeneration Genes in Bone, Dentin, Nerve and Vessel Tissues.Genes · 2017Article
- Identification of novel candidate drivers connecting different dysfunctional levels for lung adenocarcinoma using protein-protein interactions and a shortest path approach.Scientific reports · 2016Article
- Identifying novel genes and chemicals related to nasopharyngeal cancer in a heterogeneous network.Scientific reports · 2016Article
- Identifying novel protein phenotype annotations by hybridizing protein-protein interactions and protein sequence similarities.Molecular genetics and genomics : MGG · 2016Article
- The Use of Protein-Protein Interactions for the Analysis of the Associations between PM2.5 and Some Diseases.BioMed research international · 2016Article
- Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach.BioMed research international · 2015Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Uncovering the molecular mechanisms underlying reproduction is of great importance to infertility treatment and to the generation of healthy offspring. In this study, we discovered novel reproduction-related genes with a hybrid computational method, integrating three different types of method, which offered new clues for further reproduction research. This method was first executed on a weighted graph, constructed based on known protein-protein interactions, to search the shortest paths connecting any two known reproduction-related genes. Genes occurring in these paths were deemed to have a special relationship with reproduction. These newly discovered genes were filtered with a randomization test. Then, the remaining genes were further selected according to their associations with known reproduction-related genes measured by protein-protein interaction score and alignment score obtained by BLAST. The in-depth analysis of the high confidence novel reproduction genes revealed hidden mechanisms of reproduction and provided guidelines for further experimental validations.
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