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03768nam a22004333i 4500 |
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231204s2014 xx o ||||0 eng d |
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|a 9789814644730
|q (electronic bk.)
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|a (MiAaPQ)EBC6383191
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|a (Au-PeEL)EBL6383191
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|a (OCoLC)1231606981
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|a MiAaPQ
|b eng
|e rda
|e pn
|c MiAaPQ
|d MiAaPQ
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|a Altman, Russ B.
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|a Pacific Symposium On Biocomputing 2015.
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|a 1st ed.
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|a Singapore :
|b World Scientific Publishing Company,
|c 2014.
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|c ©2015.
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|a 1 online resource (517 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a 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.
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|a 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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|a Description based on publisher supplied metadata and other sources.
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| 590 |
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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| 655 |
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|a Electronic books.
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|a Dunker, A Keith.
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|a Hunter, Lawrence.
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|a Ritchie, Marylyn D.
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|a Murray, Tiffany A.
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|a Klein, Teri E.
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|i Print version:
|a Altman, Russ B
|t Pacific Symposium On Biocomputing 2015
|d Singapore : World Scientific Publishing Company,c2014
|z 9789814644723
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| 797 |
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|a ProQuest (Firm)
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| 856 |
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=6383191
|z Click to View
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