Sciweavers

279 search results - page 20 / 56
» On Sequence Prediction for Arbitrary Measures
Sort
View
ICMLA
2008
13 years 9 months ago
A Clustering Approach in Developing Prognostic Systems of Cancer Patients
Accurate prediction of survival rates of cancer patients is often key to stratify patients for prognosis and treatment. Survival prediction is often accomplished by the TNM system...
Dechang Chen, Kai Xing, Donald Henson, Li Sheng, A...
ICASSP
2010
IEEE
13 years 7 months ago
Temporal motion smoothness measurement for reduced-reference video quality assessment
Reduced-reference (RR) video quality measures aim to predict the perceptual quality of distorted video signals using only partial information about the reference video. Existing R...
Kai Zeng, Zhou Wang
BMCBI
2010
152views more  BMCBI 2010»
13 years 7 months ago
A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry
Background: High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflo...
Chongle Pan, Byung-Hoon Park, William H. McDonald,...
BMCBI
2004
144views more  BMCBI 2004»
13 years 7 months ago
GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes
Background: The function of a novel gene product is typically predicted by transitive assignment of annotation from similar sequences. We describe a novel method, GOtcha, for pred...
David M. A. Martin, Matthew Berriman, Geoffrey J. ...
BMCBI
2007
147views more  BMCBI 2007»
13 years 7 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...