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» Gene function prediction using labeled and unlabeled data
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BMCBI
2010
240views more  BMCBI 2010»
13 years 5 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
BMCBI
2010
143views more  BMCBI 2010»
13 years 5 months ago
ETE: a python Environment for Tree Exploration
Background: Many bioinformatics analyses, ranging from gene clustering to phylogenetics, produce hierarchical trees as their main result. These are used to represent the relations...
Jaime Huerta-Cepas, Joaquín Dopazo, Toni Ga...
BMCBI
2007
155views more  BMCBI 2007»
13 years 5 months ago
ProCMD: a database and 3D web resource for protein C mutants
Background: Activated Protein C (ProC) is an anticoagulant plasma serine protease which also plays an important role in controlling inflammation and cell proliferation. Several mu...
Pasqualina D'Ursi, Francesca Marino, Andrea Caprer...
BMCBI
2010
191views more  BMCBI 2010»
13 years 5 months ago
BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions
Background: Genome-scale metabolic reconstructions under the Constraint Based Reconstruction and Analysis (COBRA) framework are valuable tools for analyzing the metabolic capabili...
Jan Schellenberger, Junyoung O. Park, Tom M. Conra...
JMLR
2006
132views more  JMLR 2006»
13 years 5 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof