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在“Elsevier电子期刊”中，命中：55,593条，耗时：0.3168507 秒

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1.A cost-sensitive rotation forest algorithm for gene expression data classification

作者：Huijuan Lu^aAuthor Vitae ; Lei Yang^aAuthor Vitae ; Ke Yan^a ; ^{yanke@cjlu.edu.cn}Author Vitae ; Yu Xue^bAuthor Vitae ; Zhigang Gao^cAuthor Vitae

关键词：Gene expression data ; Rotation forest ; Cost-sensitive ; Misclassification cost ; Rejection cost ; Test cost

刊名：Neurocomputing

出版年：2017

2.Learning gene regulatory networks from gene expression data using weighted consensus

作者：Chisato Fujii^a ; ¹Author Vitae ; Hiroyuki Kuwahara^a ; ¹Author Vitae ; Ge Yu^bAuthor Vitae ; Lili Guo^bAuthor Vitae ; Xin Gao^a ; ^{xin.gao@kaust.edu.sa}Author Vitae

关键词：Gene regulatory networks ; Gene expression ; Consensus ; Structure learning

刊名：Neurocomputing

出版年：2017

3.Killing two birds with one stone: Model plant systems as a tool to teach the fundamental concepts of gene expression while analyzing biological data

作者：Irina Makarevitch ; ^{imakarevitch01@hamline.edu} ; Betsy Martinez-Vaz

关键词：Regulation of gene expression ; Undergraduate classroom ; Student research experiences

刊名：Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms

出版年：2017

4.Transcriptomic analysis of gene expression profiles of stomach carcinoma reveal abnormal expression of mitotic components

作者：Hongfei Tong ; Jisheng Wang ; Hui Chen ; Zhaohong Wang ; Henwei Fan ; Zhonglin Ni ; ^{chinanister@tom.com}

关键词：Gastric cancer ; Mitosis ; Transcriptomic analysis ; Gene interaction network ; Co-expression network

刊名：Life Sciences

出版年：2017

5.Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order

作者：André ; Teixeira Lopes^a ; ^{andreteixeiralopes@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Edilson de Aguiar^b ; ^{edilson.de.aguiar@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Alberto F. De Souza^a ; ^{alberto@lcad.inf.ufes.br" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Thiago Oliveira-Santos^a ; ^{todsantos@inf.ufes.br" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Facial expression recognition ; Convolutional Neural Networks ; Computer vision ; Machine learning ; Expression specific features

刊名：Pattern Recognition

出版年：2017

6.Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles

作者：Yongjun Piao^a ; ^{pyz@dblab.chungbuk.ac.kr} ; Minghao Piao^b ; ^{myunghopark@gmail.com} ; Keun Ho Ryu^a ; ^{khryu@dblab.chungbuk.ac.kr}

关键词：Cancer classification ; Data mining ; Ensemble learning ; miRNA expression

刊名：Computers in Biology and Medicine

出版年：2017

7.Integrating GWAS and Co-expression Network Data Identifies Bone Mineral Density Genes SPTBN1 and MARK3 and an Osteoblast Functional Module

作者：Gina M. Calabrese¹ ; Larry D. Mesner¹ ; Joseph P. Stains² ; Steven M. Tommasini³ ; Mark C. Horowitz³ ; Clifford J. Rosen⁴ ; Charles R. Farber¹ ; ⁵ ; ⁶ ; ^{crf2s@virginia.edu}

关键词：bone mineral density ; BMD ; osteoporosis ; fracture ; bone fragility ; genetics ; co-expression network ; systems genetics ; genome-wide association study ; GWAS

刊名：Cell Systems

出版年：2017

8.Comparative analysis of TCDD-induced AhR-mediated gene expression in human, mouse and rat primary B cells

作者：Natalia Kovalova^a ; ^b ; ^{kovalova@msu.edu} ; Rance Nault^b ; ^c ; ^{naultran@msu.edu} ; Robert Crawford^b ; ^{crawfo28@msu.edu} ; Timothy R. Zacharewski^b ; ^c ; ^{tzachare@msu.edu} ; Norbert E. Kaminski^a ; ^b ; ^{kamins11@msu.edu}

关键词：TCDD ; 237 ; 8-tetrachlorodibenzo-p-dioxin ; AhR ; aryl hydrocarbon receptor ; RNA-Seq ; RNA sequencing ; IgM ; immunoglobulin M ; AFC ; antibody forming cells ; PWM ; Pokeweed mitogen ; PAS ; Per-Arnt-Sim ; PBMCs ; peripheral blood mononuclear cells ; ARNT ; AhR nuclear translocator ; DREs ; dioxin response elements ; DMSO ; dimethyl sulfoxide ; GEO ; Gene Expression Omnibus ; VST ; variance stabilizing transformation ; DAVID ; Database for Annotation ; Visualization and Integrated Discovery ; GO ; gene ontology

刊名：Toxicology and Applied Pharmacology

出版年：2017

9.Predictive Value of Different Expressions of Forced Expiratory Volume in 1 Second (FEV1) for Adverse Outcomes in a Cohort of Adults Aged 80 and Older

作者：Eralda Hegendö ; rfer ; MD^a ; ^b ; ^{eralda.turkeshi@kuleuven.be} ; Bert Vaes ; MD ; PhD^a ; ^b ; Elena Andreeva ; MD^a ; Catharina Matheï ; MD ; PhD^b ; Gijs Van Pottelbergh ; MD ; PhD^b ; Jean-Marie Degryse ; MD ; PhD^a ; ^b

关键词：FEV1 expressions ; adverse health outcomes ; adults aged 80 and older

刊名：Journal of the American Medical Directors Association

出版年：2017

10.Application of gene expression programming to predict daily dew point temperature

作者：Saeid Mehdizadeh ^{saied.mehdizadeh@gmail.com} ; Javad Behmanesh ; ^{j.behmanesh@urmia.ac.ir} ; Keivan Khalili ^{khalili2006@gmail.com}

关键词：Daily dew point temperature ; Gene expression programming (GEP) ; Meteorological data ; Estimation

刊名：Applied Thermal Engineering

出版年：2017

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