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Matrix metalloproteinases as target genes for gene regulatory networks driving molecular and cellular pathways related to a multistep pathogenesis of cerebrovascular disease
Polonikov, A., Rymarova, L., Klyosova, E., Volkova, A., Churnosov, M.
The present study investigated a joint contribution of matrix metalloproteinases (MMPs) genes
COMPUTER ANALYSIS OF PLANT STRESS RESPONSE: GENE NETWORKS AND TRANSCRIPTIONAL REGULATION
Kononov V.A., Orlova N.G., Orlov Y.L.
fields of computer programs development for modeling plant gene networks, based on high
Editorial: Bioinformatics of Genome Regulation, Volume II
Orlov Y.L., Anashkina A.A., Tatarinova T.V., Baranova A.V.
gene networks
A principal components analysis and functional annotation of differentially expressed genes in brain regions of gray rats selected for tame or aggressive behavior
Chadaeva I., Kozhemyakina R., Shikhevich S, Bogomolov A., Kondratyuk E., Oshchepkov D., Orlov Y.L., Markel A.L.
A principal components analysis and functional annotation of differentially expressed genes
A single source reachable query method for gene regulatory networks
Zhaoyuan, Zhang, Ziheng, Ding, Hanwen, Wang, Keyi, Liu, Weiyiqi, Wang
With the deepening of research on gene regulatory network, the construction technology of gene
Topological analysis of regulatory networks reveals functionally key genes and miRNAs involved in the differentiation of mesenchymal stem cells
Ataei A., Poorebrahim M., Rajabpour A., Rizvanov A., Arab S.S.
network. Materials and Methods: In this study, we constructed gene regulatory networks for each non
Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks
Saik Olga V.
. Results: Using ANDSystem, the reconstruction and analysis of gene networks associated with asthma
A Principal Components Analysis and Functional Annotation of Differentially Expressed Genes in Brain Regions of Gray Rats Selected for Tame or Aggressive Behavior
Chadaeva Irina, Kozhemyakina Rimma, Shikhevich Svetlana, Bogomolov Anton, Kondratyuk Ekaterina, Oshchepkov Dmitry, Orlov Yuriy L., Markel Arcady L.
genes) web service, we built a gene association network. The genes engaged in broad network interactions
Statistical estimates of multiple transcription factors binding in the model plant genomes based on ChIP-seq data
Dergilev Arthur I., Orlova Nina G., Dobrovolskaya Oxana B., Orlov Yuriy L.
gene networks reconstruction. Genome regulation remains an insufficiently studied though plants have
Filtering of the gene signature as the predictors of cisplatin-resistance in ovarian cancer
Ataei A., Arab S.S., Zahiri J., Rajabpour A., Kletenkov K., Rizvanov A.
. Conclusions: Our results indicated the functional genes and networks in Cisplatin resistance of ovarian cancer

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