Medusa: a simple tool for interaction graph analysis

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Medusa: a simple tool for interaction graph analysis

SUMMARY Medusa is a Java application for visualizing and manipulating graphs of interaction, such as data from the STRING database. It features an intuitive user interface developed with the help of biologists. Medusa is optimized for accessing protein interaction data from STRING, but can be used for any type of graph from any scientific field.

متن کامل

a simple emergency prediction tool for acute aortic dissection.

a simple emergency risk prediction tool should be developed for clinicians to quickly identify the prognosis of patients with acute aortic dissection.we enrolled 280 patients with acute aortic dissection admitted to emergency department between may 2010 and february 2013. multivariate logistic regression analysis was performed to identify independent predictors of in-hospital death.the in-hospi...

متن کامل

MeDUSA: a sage-based tool for computing the stoichiometric capacitance of a metabolic network

O ptimization-based analysis of metabolic networks have been used to design metabolic engineering strategies aiming at enhancing the production of a target of interest. Here, we present MeDUSA, a comprehensive tool for the calculation of a stoichiometric capacitance allowing for increasing the maximum production of a given product. MeDUSA provides an extensive sage-based package which, given a ...

متن کامل

a time-series analysis of the demand for life insurance in iran

با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند

A description of MEDUSA

Introduction Conclusions References

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Bioinformatics

سال: 2005

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/bti696