The OGCleaner: filtering false-positive homology clusters

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

A Clustering-Based Approach for Filtering False Positive MicroRNA Candidates

Our study first validated the phenomenon of microRNA (miRNA) clustering in the human genome using computational methods, and then showed that miRNA clustering can be used to improve the computational predictions of human miRNAs. We demonstrated that the secondary structure of a miRNA precursor is similar to its neighboring miRNAs located in the same cluster, when compared to the sequences outsi...

متن کامل

Shape Filtering for False Positive Reduction at Computed Tomography Colonography

In this paper, we treat the problem of reducing the false positives (FP) in the automatic detection of colorectal polyps at Computer Aided Detection in Computed Tomography Colonography (CAD-CTC) as a shape-filtering task. From the extracted candidate surface, we obtain a reliable shape distribution function and analyse it in the Fourier domain and use the resulting spectral data to classify the...

متن کامل

HIV false positive results and Flu vaccination

Abstract False positive results are the major problem influencing interpretation of Clinical Laboratory test. They are originated mostly in the other diseases, technical errors and the recent vaccination. The problem has been presented since 1991 is positive HIV test after influenza Vaccination (1). The False positive has been reported in Cases using Eliza, one of The most common test to screen...

متن کامل

False Discovery Rate for Homology Searches

While many different aspects of retrieval algorithms (e.g., BLAST) have been studied in depth, the method for determining the retrieval threshold has not enjoyed the same attention. Furthermore, with genetic databases growing rapidly, the challenges of multiple testing are escalating. In order to improve search sensitivity, we propose the use of the false discovery rate (FDR) as the method to c...

متن کامل

The false-positive to false-negative ratio in epidemiologic studies.

The ratio of false-positive to false-negative findings (FP:FN ratio) is an informative metric that warrants further evaluation. The FP:FN ratio varies greatly across different epidemiologic areas. In genetic epidemiology, it has varied from very high values (possibly even >100:1) for associations reported in candidate-gene studies to very low values (1:100 or lower) for associations with genome...

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: 2016

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/btw571