Search
Skip to Search Results- 16Bioinformatics
- 5Machine Learning
- 3Infant gut microbiota
- 2Machine learning
- 2Metabolomics
- 13 Tier Architecture
- 10Graduate and Postdoctoral Studies (GPS), Faculty of
- 10Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 5Computing Science, Department of
- 5Computing Science, Department of/Technical Reports (Computing Science)
- 1The NSERC TRIA Network (TRIA-Net)
- 1The NSERC TRIA Network (TRIA-Net)/Journal Articles (TRIA-Net)
-
2011
Goebel, Randy, Wang, Lusheng, Lin, Guohui, Li, Zhong
Technical report TR11-02. Given two genomic maps G1 and G2 each represented as a sequence of n gene markers, the maximal strip recovery (MSR) problem is to retain the maximum number of markers in both G1 and G2 such that the resultant subsequences, denoted as G1* and G2*, can be partitioned into...
-
2017-01-06
Bording-Jorgensen, M. , O'keefe, S. , Mason, A., Warren, K., Patterson J., Jovel, J., Wong, G., Wang, W.
Multiple sclerosis (MS) is a common cause of non-traumatic neurologic disability with high incidence in many developed countries. Although the etiology of the disease remains elusive, it is thought to entail genetic and environmental causes, and microbial pathogens have also been envisioned as...
-
Spring 2014
Metabolomics involves the high throughput characterization of small molecules or metabolites in cells, tissues and organisms. To interpret, store and exchange metabolomic data it is necessary to have comprehensive, electronically accessible databases that can be used to handle both the...
-
Fall 2011
Metabolomics aims to study all small-molecule compounds (i.e. metabolites) in cells, tissues, or biofluids. These compounds provide a functional readout of the physiological, developmental, and pathological state of a biological system. The field of metabolomics has expanded rapidly over the last...
-
Duration of labour and its impact on the infant gut microbial composition in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort
DownloadSpring 2018
Background: Balanced development of infant gut microbiota is pivotal for immune maturation and energy homeostasis, and infant gut dysbiosis is associated with increased risk of childhood atopy, allergy and excess weight gain. Shifts in abundance of gut Bacteroidetes and Firmicutes during infancy,...
-
Effect of environmental exposure on infant gut microbiota composition and diversity in the Canadian Healthy Infant Longitudinal Development (CHILD) national birth cohort
DownloadFall 2016
Background: The development of infant gut microbiota plays a crucial role in immune system development, and infant gut microbiota dysbiosis has been linked to asthma and allergic disease. Studies have shown that Bacteroidetes phylum was less abundant in the guts of allergic children. Although...
-
Estimating the Overlap of Top Instances in Lists Ranked by Correlation to Label
Spring 2012
Recent advances in high-throughput technologies, such as genome-wide SNP analysis and microar- ray gene expression profiling, have led to a multitude of ranked lists, where the features (SNPs, genes) are sorted based on their individual correlation with a phenotype. Multiple reviews have shown...
-
2003
Greiner, Russ, Poulin, B., Lu, Paul, Anvik, J., Lu, Z., Macdonell, Cam, Wishart, David, Eisner, Roman, Szafron, Duane
Technical report TR03-09. Naive Bayes classifiers, a popular tool for predicting the labels of query instances, are typically learned from a training set. However, since many training sets contain noisy data, a classifier user may be reluctant to blindly trust a predicted label. We present a...
-
2001
Schaeffer, Jonathan, Charter, K., Lu, Paul, Szafron, Duane, Parsons, I., Driga, A.
Technical report TR01-10. For two DNA or protein sequences of length m and n, dynamic programming alignment algorithms like Needleman-Wunsch and Smith-Waterman take O(m x n) time and use O(m x n) space, so we refer to them as full matrix (FM) algorithms. This space requirement means that large...