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BMCBI
2007
101views more  BMCBI 2007»
15 years 3 months ago
Statistical validation of megavariate effects in ASCA
Background: Innovative extensions of (M) ANOVA gain common ground for the analysis of designed metabolomics experiments. ASCA is such a multivariate analysis method; it has succes...
Daniel J. Vis, Johan A. Westerhuis, Age K. Smilde,...
BMCBI
2010
108views more  BMCBI 2010»
15 years 3 months ago
Confronting two-pair primer design for enzyme-free SNP genotyping based on a genetic algorithm
Background: Polymerase chain reaction with confronting two-pair primers (PCR-CTPP) method produces allelespecific DNA bands of different lengths by adding four designed primers an...
Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang, Hsu...
BMCBI
2008
97views more  BMCBI 2008»
15 years 3 months ago
Comparison study on k-word statistical measures for protein: From sequence to 'sequence space'
Background: Many proposed statistical measures can efficiently compare protein sequence to further infer protein structure, function and evolutionary information. They share the s...
Qi Dai, Tian-Ming Wang
BMCBI
2007
105views more  BMCBI 2007»
15 years 3 months ago
Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor sti
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...
Rob Jelier, Guido Jenster, Lambert C. J. Dorssers,...
BMCBI
2006
90views more  BMCBI 2006»
15 years 3 months ago
The PowerAtlas: a power and sample size atlas for microarray experimental design and research
Background: Microarrays permit biologists to simultaneously measure the mRNA abundance of thousands of genes. An important issue facing investigators planning microarray experimen...
Grier P. Page, Jode W. Edwards, Gary L. Gadbury, P...