Melih Sozdinler

Melih Sozdinler

We provide a visualization model that targets the visualization of Protein-Protein Interactions(PPI) and combines it with a super view based on publications and methods to extract interactions. Although there are several existing tools, our model considers the existing literature and is capable to demonstrate all interactions for the selected organisms. In our model, we propose a three-level visualization concept for the PPI networks with the current state-of-the-art studies based on several organisms. And, we abstract of overall network based on two perspectives; "experimental method types of each interaction" and "ownership with the publication". We claim that it is more efficient to work on our proposed layout rather than parsing text files or databases. For that way, we plan to support the existing visuals with complementary outsourced information from the existing knowledge base.

Melih Sozdinler

Recently, biclustering is one of the hot topics in bioinformatics and takes the attention of authors from several different disciplines. Hence, many different methodologies from a variety of disciplines are proposed as a solution to the biclustering problem. As a consequence of this issue, a variety of solutions makes it harder to evaluate the proposed methods. With this review paper, we are aimed to discuss both analysis and visualization of biclustering as a guide for the comparisons between brand new and existing biclustering algorithms. Additionally, we concentrate on the tools that provide visualizations with accompanied analysis techniques. Through the paper, we give several references that are also a short review of the state of the art for the ones who will pursue research on biclustering. The Paper outline is as follows; we first give the visualization and analysis methods, then we evaluate each proposed tool with the visualization contribution and analysis options, finally, we discuss future directions for biclustering and we propose standards for future work.