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Are the main cause of the stress

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We also used perl scripts developed in-house for randomisation process. We thank Jaypee Institute european clinical pharmacology Information Technology, for their constant support. We are thankful to Indian Institute of Technology, New Delhi for providing the access to their super-computing facility for the execution of our programs.

We also thank anonymous reviewers for their valuable comments. Conceived and designed the experiments: KR. Performed the experiments: KR JJ HKJ SA. Analyzed the data: KR JJ HKJ. Wrote the paper: KR JJ HKJ. Is the Subject Area "Obesity" applicable to this article. Yes NoIs the Subject Area "Leptin" applicable to this article. Yes NoIs the Subject Area "Insulin" applicable to this article.

Yes Are the main cause of the stress the Subject Area "Gene mapping" applicable to this article. Yes NoIs the Subject Area "Adipose tissue" applicable to this article.

Yes NoIs the Subject Area "Text mining" applicable to this article. Yes NoIs the Subject Area "Transcription factors" applicable to this article. Yes NoIs the Subject Area "Genetic networks" applicable to this article.

Funding: The what is stress is have no support or funding to report. Download: PPTResults General features of the map We screened over one thousand research articles manually and more than 96,219 abstracts (published till December 2012) using text mining system. Shows three components of the map: top, bottom and central component along with the molecules and their connectivity degree.

I-shape structure of the network consisting of central component connected with top and bottom regions. Representation of the map Genes and proteins are represented by standard notations, whereas interactions are categorized as positive, negative, neutral and catalysis.

Shows types of interaction, example of verbs, representative sentences and references. Describes information of five modules obtained from the network. Download: PPT Quantitative Analysis To understand the properties of constructed network, we computed several topological parameters as described below (See File B in S1 File for detailed information).

The opana free behaviour is also observed in constituent modules suggesting preferential attachments and hubs in the network (See Table 4). Average shortest path length value was found to be 15. Topological analysis of the comprehensive map using Network analyzer and Gephi. Robustness of Network To see the robustness of network and its dependence on failure of a particular node, we randomly deleted nodes and computed properties are the main cause of the stress the remaining network.

DiscussionThis work are the main cause of the stress a new approach of combining data from heterogeneous databases including literature, structure and microarrays to construct disease networks and attempt to explain therapeutics of a drug molecule in context of networks.

Material and Methods (A) Retrieval of Literature Data We screened each research article manually and highlighted text for the name Aranesp (Darbepoetin Alfa)- Multum molecules as well as their interactions.

Our TM approach is formulated as following-: (i). Let W be the set of all the genes and their synonyms in human that may occur at least once in the set of abstracts labelled are the main cause of the stress A.

The W is represented as a matrix where each row represents a gene (wi) and its synonyms. A separate matrix (M) is constituted for storing evolvehq com of genes, listed in W.

It contains genes (wi) in the first column and their respective counts (ck) in second column. We also define N asthe gene co-occurrence matrix. Each entity of this matrix is described as Nxyz to store information extracted from research articles. This is composed of three units: Nx, Ny and Nz. Nx capture first instance of gene encountered in the sentence whereas Nz keeps the next instance of gene and Ny stores intermediate set of words.

Here, insulin and leptin are labeled as gene pair having 10 intermediate words between them. We extract gene pairs from the abstracts and full length articles and compute their frequencies. Parser is a set of dictionaries that are built for various types of interactions, tenses and negations. We curated data of 300 research articles to identify the most frequently used words to represent interactions namely, positive, negative and neutral.

We use these dictionaries to label interactions by building a matrix O. In matrix O, Oxyz represent the data structure where the gene Ox (insulin) is followed by gene Oz (leptin) with their type of interaction, Oy (positive).

This is processed are the main cause of the stress graphical-view using GraphViz (Version 2. The are the main cause of the stress example (tutorial) of TM approach is provided in a S7 in S1 File.

The identification of protein targets of drugs, particularly orlistat, was accomplished with Docoviz pipeline (Fig 6).

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13.10.2020 in 13:17 Gardajinn:
Yes, almost same.