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Pacific Symposium On Biocomputing 2015.

Bibliographic Details
Main Author: Altman, Russ B.
Other Authors: Dunker, A Keith., Hunter, Lawrence., Ritchie, Marylyn D., Murray, Tiffany A., Klein, Teri E.
Format: eBook
Language:English
Published: Singapore : World Scientific Publishing Company, 2014.
Edition:1st ed.
Subjects:
Electronic books.
Online Access:Click to View
Table of Contents:
  • Intro
  • 2PSB20AnniversaryFinalv2
  • all-cp
  • 0intro-cancerpanomics
  • ching
  • deshwar
  • jang
  • lehman
  • nasser
  • wu
  • all-cp
  • 0intro-cancerpathways
  • engin
  • kim
  • 1. Introduction
  • 2. Methods
  • 2.1. Data
  • 2.2. BioBin
  • 2.3. ATHENA
  • 2.4. Grammatical Evolution Neural Networks (GENN)
  • 2.5. Survival fitness function
  • 2.6. Experiment setup
  • 3. Results and Discussion
  • 3.1. Binning somatic mutations using BioBin
  • 3.2. GENN modeling for somatic mutation burden
  • 3.3. Biological interpretation
  • 4. Conclusions
  • Acknowledgments
  • lockwood
  • poon
  • tan
  • yang
  • all-interactions
  • 1intro-interactions
  • crawford
  • darabos
  • frost
  • holzinger
  • Holzinger_PSB2015_r2VIM_1Oct2014
  • 1.   Introduction
  • 1.1.   Variable selection that allows for interactions
  • 2.   Methods
  • 2.1.   r2VIM
  • 2.2.   Data Simulation
  • 3.   Results
  • 3.1.   Simulated Data
  • 4.   Discussion
  • hu
  • jeff
  • patel
  • restrepo
  • wang
  • all-crowd
  • 1intro-crowdsourcing
  • binder
  • good
  • irshad
  • odgers
  • waldispuhl
  • all-pm
  • 0intro-pm
  • birol
  • chang
  • diggans
  • fan-minogue
  • glicksberg
  • hinterberg
  • huang
  • makashir
  • 2. Methods
  • 2.1. Statistical framework for meta-analysis of differential co-expression
  • 2.1.1. s score definition
  • 2.1.2. Probability distribution of s scores
  • 2.2. SLE dataset selection for meta-analysis
  • 2.3. Data pre-processing
  • 2.4. Meta-analysis of differential gene co-expression in SLE
  • 2.5. Comparison of Type I error rates and statistical power
  • 2.6. Differential expression analysis
  • 2.7. Identification and annotation of gene modules
  • 3. Results
  • 3.1. A network of genes specifically co-expressed in SLE
  • 3.2. Gene co-expression modules specific to SLE
  • 3.2.1. Type I interferon response.
  • 3.2.2. Cell movement and response to wounding
  • 3.2.3. Immune defense against extracellular organisms
  • 4. Discussion
  • 5. Conclusions
  • nie
  • sengupta
  • all-wkshop
  • 1wkshop-human
  • 2wkshop-discovery
  • 3wkshp-public
  • 4wkshop-bioinfo
  • 5psb15-erratum.

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