Prediction of Gene Phenotypes Based on GO and KEGG Pathway Enrichment Scores

المؤلفون المشاركون

Zhang, Tao
Niu, B.
Chen, Lei
Jiang, Min
Cai, Yu-Dong

المصدر

BioMed Research International

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-11-07

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

الطب البشري

الملخص EN

Observing what phenotype the overexpression or knockdown of gene can cause is the basic method of investigating gene functions.

Many advanced biotechnologies, such as RNAi, were developed to study the gene phenotype.

But there are still many limitations.

Besides the time and cost, the knockdown of some gene may be lethal which makes the observation of other phenotypes impossible.

Due to ethical and technological reasons, the knockdown of genes in complex species, such as mammal, is extremely difficult.

Thus, we proposed a new sequence-based computational method called kNNA-based method for gene phenotypes prediction.

Different to the traditional sequence-based computational method, our method regards the multiphenotype as a whole network which can rank the possible phenotypes associated with the query protein and shows a more comprehensive view of the protein's biological effects.

According to the prediction result of yeast, we also find some more related features, including GO and KEGG information, which are making more contributions in identifying protein phenotypes.

This method can be applied in gene phenotype prediction in other species.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhang, Tao& Jiang, Min& Chen, Lei& Niu, B.& Cai, Yu-Dong. 2013. Prediction of Gene Phenotypes Based on GO and KEGG Pathway Enrichment Scores. BioMed Research International،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1005316

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhang, Tao…[et al.]. Prediction of Gene Phenotypes Based on GO and KEGG Pathway Enrichment Scores. BioMed Research International No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1005316

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhang, Tao& Jiang, Min& Chen, Lei& Niu, B.& Cai, Yu-Dong. Prediction of Gene Phenotypes Based on GO and KEGG Pathway Enrichment Scores. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1005316

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1005316