{"481121":{"#nid":"481121","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Po-Yen Wu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EDevelopment of Integrative Bioinformatics Approaches for Robust Biological Knowledge Discovery using Next-generation Sequencing Data\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. M.D. Wang, Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Inan, Chair\u003C\/p\u003E\u003Cp\u003EDr. QiuButera\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to investigate, develop, and validate robust bioinformatics approaches for extracting, discovering, and integrating molecular knowledge using next-generation sequencing data. RNA sequencing, or RNA-seq for short, is a major branch of the next-generation sequencing technology. To carry out this objective, we will first investigate the impact of bioinformatics pipeline components on gene expression estimation and downstream analysis using RNA-seq data. Through such the investigation, we will identify variations in downstream expression estimation and prediction performance induced by pipeline components. To ameliorate such the variations or to remedy poor-performing pipelines, we will implement filtering-based approaches so as to avoid skeptical information propagates through the pipeline as well as to implement a novel normalization method that can mitigate biases and improve the robustness of the RNA-seq expression analysis pipeline. Lastly, we aim to address the curse of dimensionality and to improve the statistical power by developing a novel batch effect correction method so that similar data from multiple sources can be merged as well as developing prediction models that can use multi-modal data as the input. With these novel techniques, we expect to achieve improved biological knowledge discovery and clinical endpoint prediction.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ECE Proposal Oral Exam"}],"uid":"28475","created_gmt":"2015-12-30 16:30:35","changed_gmt":"2016-10-08 02:15:22","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2016-01-04T14:00:00-05:00","event_time_end":"2016-01-04T14:00:00-05:00","event_time_end_last":"2016-01-04T14:00:00-05:00","gmt_time_start":"2016-01-04 19:00:00","gmt_time_end":"2016-01-04 19:00:00","gmt_time_end_last":"2016-01-04 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}