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Pacific Symposium On Biocomputing 2015.

Yazar:Altman, Russ B
Katkıda bulunan(lar):Dunker, A Keith | Hunter, Lawrence | Ritchie, Marylyn D | Murray, Tiffany A | Klein, Teri E
Materyal türü: KonuKonuYayıncı: Singapore : World Scientific Publishing Company, 2014Telif hakkı tarihi: �2015Tanım: 1 online resource (517 pages)İçerik türü:text Ortam türü:computer Taşıyıcı türü: online resourceISBN: 9789814644730Tür/Form:Electronic books.Ek fiziksel biçimler:Print version:: Pacific Symposium On Biocomputing 2015Çevrimiçi kaynaklar: Click to View
İçindekiler:
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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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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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2022. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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