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» Predicting Nucleolar Proteins Using Support-Vector Machines
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CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 7 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
NAR
2011
182views Computer Vision» more  NAR 2011»
12 years 10 months ago
PAIR: the predicted Arabidopsis interactome resource
The predicted Arabidopsis interactome resource (PAIR, http://www.cls.zju.edu.cn/pair/), comprised of 5990 experimentally reported molecular interactions in Arabidopsis thaliana to...
Mingzhi Lin, Xueling Shen, Xin Chen
CIBCB
2005
IEEE
14 years 1 months ago
Intrinsic Disorder and Protein modifications: Building an SVM Predictor for Methylation
Abstract-Post-translational protein modifications play an important role in many protein pathways and interactions. It has been hypothesized that modifications to proteins occur in...
Kenneth Daily, Predrag Radivojac, A. Keith Dunker
CANDC
2006
ACM
13 years 7 months ago
Predicting O-glycosylation sites in mammalian proteins by using SVMs
O-glycosylation is one of the most important, frequent and complex post-translational modifications. This modification can activate and affect protein functions. Here, we present ...
Sujun Li, Boshu Liu, Rong Zeng, Yu-Dong Cai, Yixue...
BMCBI
2006
106views more  BMCBI 2006»
13 years 7 months ago
Improving the performance of DomainDiscovery of protein domain boundary assignment using inter-domain linker index
Background: Knowledge of protein domain boundaries is critical for the characterisation and understanding of protein function. The ability to identify domains without the knowledg...
Abdur R. Sikder, Albert Y. Zomaya