for “ RESQUE : Network reduction using semi - Markov random walk scores for efficient querying of biological networks ”

نویسندگان

  • Sayed Mohammad Ebrahim Sahraeian
  • Byung-Jun Yoon
چکیده

Here, we want to show that the proposed reduction scheme improves the expected accuracy of the querying result. Let A represent the space of all possible matchings between the query and the target networks, where a matching a uniquely maps the query nodes VQ to a subgraph region in the target network. Besides, let a∗ be the (unknown) matching from A that most nearly represents the true biological querying result of GQ in G. Here, we seek an scheme that yields a matching a ∈ A that maximizes the accuracy of the querying result, which we define with respect to a∗ as: accuracy(a, a∗) = 1 NQ ∑

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

RESQUE: Network Reduction Using Semi-Markov Random Walk Scores for Efficient Querying of Biological Networks (Extended Abstract)

MOTIVATION Recent technological advances in measuring molecular interactions have resulted in an increasing number of large-scale biological networks. Translation of these enormous network data into meaningful biological insights requires efficient computational techniques that can unearth the biological information that is encoded in the networks. One such example is network querying, which ai...

متن کامل

RESQUE: Network Reduction Using Semi-Markov Random Walk Scores for Efficient Querying of Biological Networks

Motivation: Recent technological advances in measuring molecular interactions have resulted in an increasing number of large-scale biological networks. Translation of these enormous network data into meaningful biological insights requires efficient computational techniques that can unearth the biological information that is encoded in the networks. One such example is network querying, which a...

متن کامل

Expected Duration of Dynamic Markov PERT Networks

Abstract : In this paper , we apply the stochastic dynamic programming to approximate the mean project completion time in dynamic Markov PERT networks. It is assumed that the activity durations are independent random variables with exponential distributions, but some social and economical problems influence the mean of activity durations. It is also assumed that the social problems evolve in ac...

متن کامل

Efficient Algorithms for Personalized Pagerank a Dissertation Submitted to the Department of Computer Science and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy

We present new, more efficient algorithms for estimating random walk scores such as Personalized PageRank from a given source node to one or several target nodes. These scores are useful for personalized search and recommendations on networks including social networks, user-item networks, and the web. Past work has proposed using Monte Carlo or using linear algebra to estimate scores from a sin...

متن کامل

Efficient Algorithms for Personalized PageRank

We present new, more efficient algorithms for estimating random walk scores such as Personalized PageRank from a given source node to one or several target nodes. These scores are useful for personalized search and recommendations on networks including social networks, user-item networks, and the web. Past work has proposed using Monte Carlo or using linear algebra to estimate scores from a sin...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012