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ENGL
2007
180views more  ENGL 2007»
15 years 4 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
BMCBI
2005
118views more  BMCBI 2005»
15 years 4 months ago
Feature selection and nearest centroid classification for protein mass spectrometry
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
Ilya Levner
PROMISE
2010
14 years 11 months ago
Better, faster, and cheaper: what is better software?
Background: Defects are related to failures and they do not have much power for indicating a higher quality or a better system above the baseline that the end-users expect. Nevert...
Burak Turhan, Çetin Meriçli, Tekin M...
BMCBI
2011
14 years 8 months ago
Improving pan-genome annotation using whole genome multiple alignment
Background: Rapid annotation and comparisons of genomes from multiple isolates (pan-genomes) is becoming commonplace due to advances in sequencing technology. Genome annotations c...
Samuel V. Angiuoli, Julie C. Dunning Hotopp, Steve...
LCTRTS
2010
Springer
15 years 9 months ago
Cache vulnerability equations for protecting data in embedded processor caches from soft errors
Continuous technology scaling has brought us to a point, where transistors have become extremely susceptible to cosmic radiation strikes, or soft errors. Inside the processor, cac...
Aviral Shrivastava, Jongeun Lee, Reiley Jeyapaul