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135
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ISMB
1993
15 years 4 months ago
Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
Molecular sequence megaclassification is a technique for automated protein sequence analysis and annotation. Implementation of the method has been limited by the need to store and...
David J. States, Nomi L. Harris, Lawrence Hunter
151
Voted
BMCBI
2010
240views more  BMCBI 2010»
15 years 3 months ago
TAM: A method for enrichment and depletion analysis of a microRNA category in a list of microRNAs
Background: MicroRNAs (miRNAs) are a class of important gene regulators. The number of identified miRNAs has been increasing dramatically in recent years. An emerging major challe...
Ming Lu, Bing Shi, Juan Wang, Qun Cao, Qinghua Cui
161
Voted
BIOCOMP
2007
15 years 5 months ago
Biomarker Discovery Across Annotated and Unannotated Microarray Datasets Using Semi-Supervised Learning
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
Cole Harris, Noushin Ghaffari
154
Voted
CLUSTER
2003
IEEE
15 years 8 months ago
A Case Study of Parallel I/O for Biological Sequence Search on Linux Clusters
In this paper we analyze the I/O access patterns of a widely-used biological sequence search tool and implement two variations that employ parallel-I/O for data access based on PV...
Yifeng Zhu, Hong Jiang, Xiao Qin, David R. Swanson
ICIP
2005
IEEE
15 years 9 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...