Auto regressive distributed lag model (ARDL) and its advantages

Auto regressive Distributed Lag Models (ARDL) model plays a vital role when comes a need to analyze a  economic scenario. In an economy, change in any economic variables may bring change in another economic variables beyond the time. Read more »

Challenges of using different bibliometrics and data analysis software

In the preceding article, the challenges presented with respect to selection of the field of study and collection of data in bibliometrics. However as mentioned, bibliometrics is the statistical analysis of bibliographic data from journals, books, documents and other conference proceedings (Kurtz & Bollen, 2010). Read more »

Preparing a model to showcase industry expertise using the data point system

To showcase industry expertise I developed a model for any particular industry and based on the model the graph was to be prepared. The main motive of developing such model was to show our expertise in the industry and keep up to date with latest trends and changes. Read more »

Extracting information of TGF-β1 gene using National Center for Biotechnology Information (NCBI)

In order to understand the process of using National Center for Biotechnology Information (NCBI) for extraction of gene information for bioinformatics studies, the author uses case example of Transforming Growth Factor beta 1 (TGFβ1) gene which encodes for the TGFB1 protein found in humans. Transforming growth factor beta 1 or TGF-β1 is a polypeptide and therefore belongs to the superfamily of cytokines (Ciftci et al., 2014). It has many cellular functions, such as cell growth, cell proliferation, cell differentiation and apoptosis (Jackowska et al., 2013).

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Advantages of using Advanced Excel for a large data set

In recent years, big data has become a buzz word for them who are relying on digital technologies as it allows storage and analysis  of massive data. Here, big data includes both structured and unstructured data sets which require processing capabilities of modern tools. One of the most popular tools to handle big data is Advanced Excel and its relevant add-ons (Rose, Spinks, & Canhoto, 2015).

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Extraction of TGFβ1 protein information using UniProt

UniProt is a protein database containing information on the TGFβ1 protein. In order to obtain relevant information, the researcher needs to type in keywords in the search tab as shown in the image below. After clicking the entry link i.e. P01137 (entry id), a new page will open. Read more »

Advantages of using R statistical software for predictive modelling

Predictive modelling is a data driven, induction based modelling that is continuously used by big sized companies to gain useful insights into trends and risks budding in the future. The modelling on the basis of data extraction, cleansing and analysis helps in predicting the value of a target variable (Fortuny, Martens, & Provost, 2013). Most of the analytical softwares developed are used to efficiently understand how things move for an organisation as per trends indicated by a relevant factor. One of the software that helps in prediction is R, summarization and estimation of the target variable with respect to different factors (Varian, 2014). The software holds a wide scope to develop predictive models.

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Can you suggest me few topics in my area of research?

We generally request customers to finalize their research topic with their mentor and send it to us. But at times we can also suggest you topics if you require. It is advisable that you should send us as many research areas from your course and from the area of interest of your mentor, because you will be the one to represent the final draft to your university. Also visit our column Knowledge Tank, where we have published thousands of articles in different areas. This should help you finalise your research topic.

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