Array Platform Modeling and Analysis (A)
Author(s) -
Li-Xuan Qin,
Shuangge Ma,
Yen-Tsung Huang,
Hui Zhang,
Hongyuan Cao
Publication year - 2014
Publication title -
cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 31
ISSN - 1176-9351
DOI - 10.4137/cin.s22973
Subject(s) - data science , computer science
Multiplicative Spatial Effects § § Multiple Small Scale Variation Tools § § Insertions, Deletions, Microsatellites and § § Non-Polymorphic Variants mRNA Transcripts § § Physical Mapping § § Functional Analysis § § Multi-Dimensional Association Studies § § Evolutionary Analysis § § RefSNP Attribubutes § § Mendelian Inheritance § § Estimating Smooth Surface from Positive Controls § § Generalized Additive Modelling of Micro-Array Data § § Analysis of Spatial Artifacts § § Quantitative Intensity Modulation § § Molecular/Proteomic Profiling § § Reproducibility Metrics § § Transcript and Protein Expression § § Analysis of Signaling Pathways § § dbSNP and JSNP Database Search Tools § § HapMap § § Promiscuous Protein in Silico § § Geometric Scoring Criteria § § Mean Signal Intensity Ratio § § Cancer informatics represents a hybrid discipline encompassing the fields of oncology, computer science, bioinformatics, statistics, computational biology, genomics, proteomics, metabolomics, pharmacology, and quantitative epidemiology. The common bond or challenge that unifies the various disciplines is the need to bring order to the massive amounts of data generated by researchers and clinicians attempting to find the underlying causes and effective means of treating cancer.
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