Discovering Higher-order SNP Interactions in High-dimensional Genomic Data

QR Code

Discovering Higher-order SNP Interactions in High-dimensional Genomic Data

In this thesis, a multifactor dimensionality reduction based method on associative classification is employed to identify higher-order SNP interactions for enhancing the understanding of the genetic architecture of complex diseases. Further, this thesis explored the application of deep learning tech...

Full description

Bibliographic Details
Main Author:	Uppu, Suneetha
Format:	Thesis
Published:	Curtin University 2018
Online Access:	http://hdl.handle.net/20.500.11937/77025

Similar Items

An associative classification based approach for detecting SNP-SNP interactions in high dimensional genome
by: Uppu, S., et al.
Published: (2014)

A review on methods for detecting SNP interactions in high-dimensional genomic data
by: Krishna, Aneesh
Published: (2016)

A multifactor dimensionality reduction based associative classification for detecting SNP interactions
by: Uppu, S., et al.
Published: (2015)

A Deep Learning Approach to Detect SNP Interactions
by: Uppu, S., et al.
Published: (2016)

Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification
by: Uppu, S., et al.
Published: (2014)

Improving strategy for discovering interacting genetic variants in association studies
by: Uppu, S., et al.
Published: (2016)

An efficient algorithm to discover large and frequent itemset in high dimensional data
by: Zulkurnain, Nurul Fariza
Published: (2019)

Tuning hyperparameters for gene interaction models in genome-wide association studies
by: Uppu, S., et al.
Published: (2017)

Parallelization of logic regression analysis on SNP-SNP interactions of a Crohn’s disease dataset model
by: Unitsa Sangket,, et al.
Published: (2017)

Towards deep learning in genome-wide association interaction studies
by: Uppu, S., et al.
Published: (2016)

SNP markers-based map construction and genome-wide linkage analysis in Brassica napus
by: Raman, H., et al.
Published: (2014)

Rule-based analysis for detecting epistasis using associative classification mining
by: Uppu, Suneetha, et al.
Published: (2015)

Genome-wide snp microarray analysis among Malay sub-ethnic groups in peninsular Malaysia
by: Ab Rajab, Nur Shafawati
Published: (2013)

Discovering Genomic Patterns Using Fuzzy Self Organizing Map
by: Chu , Ho Yi
Published: (2009)

Insights into the genetic history of Green-legged Partridgelike fowl: mtDNA and genome-wide SNP analysis
by: Siwek, M., et al.
Published: (2013)

Development and validation of a high-density SNP genotyping array for African Oil Palm
by: Kwong, Qi Bin, et al.
Published: (2016)

Discovering Quality
by: Mansor Fadzil,
Published: (2013)

Data Mining In Network Without Higher Order Connections.
by: Sathasivam, Saratha
Published: (2009)

One-dimensional high-order compact method for solving Euler's equations
by: Mohamad, Mahmod Abd Hakim, et al.
Published: (2011)

A hybrid model for discovering significant patterns in data mining
by: Abdullah, Zailani
Published: (2012)

Adiponectin SNP45TG is associated with gestational diabetes mellitus
by: Low, Chen Fei, et al.
Published: (2011)

Higher order compact-flowfield dependent variation (HOC-FDV) solution of one-dimensional problems
by: Elfaghi, Abdulhafid M., et al.
Published: (2010)

Higher Order Compact-Flowfield Dependent Variation (HOC-FDV) solution of one-dimensional problems
by: M. Elfaghi, Abdulhafid, et al.
Published: (2010)

High density SNP and DArT-based genetic linkage maps of two closely related oil palm populations
by: Gan, Siou Ting, et al.
Published: (2017)

Discovering hidden talents
by: Ming, Teoh
Published: (2021)

Scalable technique to discover items support from trie data structure
by: Noraziah, Ahmad, et al.
Published: (2012)

Discovering dependencies among data quality dimensions : a validation of instrument.
by: Panahy, Payam Hassany Shariat, et al.
Published: (2013)

Discovery of single nucleotide polymorphism in Capsicum and SNP markers for cultivar identification
by: Jung, J., et al.
Published: (2010)

HerMES: Candidate high-redshift galaxies discovered with Herschel/Spire
by: Dowell, C., et al.
Published: (2014)

Higher order compact flowfield-dependent variation (HOC-FDV) method for one-dimensional viscous flow
by: M Elfaghi, Abdulhafid
Published: (2020)

Subspace-based dynamic selection for high-dimensional data
by: Maciel-Guerra, Alexandre
Published: (2022)

Analyses of indexing techniques on uncertain data with high dimensionality
by: Mohammed Lawal, Ma’aruf, et al.
Published: (2020)

Extending pathways and processes using molecular interaction networks to analyse cancer genome data
by: Glaab, Enrico, et al.
Published: (2010)

Analysing the use of an interactive data visualization in order to disseminate detailed data on rail fatalities
by: Wronska, Urszula
Published: (2016)

Discovering interesting knowledge in databases – Data Mining with classification / Kheong Ling Ling
by: Kheong , Ling Ling
Published: (2003)

Discovering the values of the Islamic garden
by: Md Jani, Haza Hanurhaza, et al.
Published: (2017)

DISCOVERING THE ART OF CREATIVE ACCOUNTING
by: Todi, Udit
Published: (2007)

Discovering your body system
by: Zubir, Nazira, et al.
Published: (2012)

Young creative writers discovered!
by: Noraisah Nurul Fatwa, Mohd Razali
Published: (2012)

Discovering factors of graph polynomials
by: Yow, Kai Siong, et al.
Published: (2019)

Cannot write session to /tmp/vufind_sessions/sess_8iibeei62hotd80fctq0frldi7