YANG MING  CHIAO TUNG INSTITUTE OF BIOMEDICAL INFORMATICS
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[¥Í¸êºÓ¤h¯Z] 1052[¥ÍÂå¸ê±M°Q(ºÓ¯Z¥Í¸êI)]
Instructors ªL®¶¼y¦Ñ®v¡B¤ý¬ê¶W¦Ñ®v
Location ¹Ï¸ê¤j¼Ó403±Ð«Ç (Rm. 403, Library, Information, and Research Building)
Time Monday,13:20-15:10
Website http://video.ym.edu.tw/course/view.php?id=161
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Date Speaker Topic Note
02¤ë13¤é - ¶}¾Ç²Ä¤@¶g
02¤ë20¤é -
02¤ë27¤é - ¤G¤G¤K¼u©Ê©ñ°²
03¤ë06¤é A Mapping the effects of drugs on the immune system paper
03¤ë13¤é B Mapping the effects of drugs on the immune system discussion
03¤ë20¤é B A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy paper
03¤ë27¤é A A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy discussion
04¤ë03¤é - ²M©ú¸`¼u©Ê©ñ°²
04¤ë10¤é - ´Á¤¤¦Ò¶g
04¤ë17¤é - ½Ð¦P¾Ç°Ñ¥[ºÓ¤GÁ`µû¶q
04¤ë24¤é B Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis paper
05¤ë01¤é A Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis discussion
05¤ë08¤é -
05¤ë15¤é A Early and multiple origins of metastatic lineages within primary tumors paper
05¤ë22¤é -
05¤ë29¤é - ºÝ¤È¸`¼u©Ê©ñ°²
06¤ë05¤é B Early and multiple origins of metastatic lineages within primary tumors discussion
06¤ë12¤é - ´Á¥½¦Ò¶g

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[¥Í¸êºÓ¤h¯Z] 1052[¥ÍÂå¸ê±M°Q(ºÓ¯Z¥Í¸êII)]
Instructors ¶À«ÛµØ¦Ñ®v¡B·¨¥Ã¥¿¦Ñ®v¡BÁéÖö¤è¦Ñ®v
Location ¹Ï¸ê¤j¼Ó411±Ð«Ç (Rm. 411, Library, Information, and Research Building)
Time Monday,13:20-15:10
Website http://video.ym.edu.tw/course/view.php?id=162
1052[¥ÍÂå¸ê±M°Q(ºÓ¯Z¥Í¸êII)]-³W©w
Date Speaker Topic Note
02¤ë13¤é - ¶}¾Ç²Ä¤@¶g
02¤ë20¤é - -
02¤ë27¤é - ¤G¤G¤K¼u©Ê©ñ°²
03¤ë06¤é ¬Iµq°a A machine learning approach for the identification of key markers involved in brain development from single-cell transcriptomic data
03¤ë13¤é ªL¨È¬X Dual RNA-seq reveals viral infections in asthmatic children without respiratory illness which are associated with changes in the airway transcriptome
03¤ë20¤é ÁÂÃLÜö An analytical workflow for accurate variant discovery in highly divergent regions
03¤ë27¤é - -
04¤ë03¤é - ²M©ú¸`¼u©Ê©ñ°²
04¤ë10¤é - ´Á¤¤¦Ò¶g
04¤ë17¤é - ½Ð¦P¾Ç°Ñ¥[ºÓ¤GÁ`µû¶q
04¤ë24¤é ¾G³ÕÀç Prediction of drugs having opposite effects on disease genes in a directed network
05¤ë01¤é ±i­§µY Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
05¤ë08¤é ¤ýµYµ¾ Fast motif matching revisited high-order PWMs, SNPs and indels
05¤ë15¤é ¬Iµq°a Building a genetic risk model for bipolar disorder from genome-wide association data with random forest algorithm
ªL¨È¬X Huntington¡¦s disease blood and brain show a common gene expression pattern and share an immune signature with Alzheimer¡¦s disease
05¤ë22¤é - -
05¤ë29¤é - ºÝ¤È¸`¼u©Ê©ñ°²
06¤ë05¤é ÁÂÃLÜö Detailed simulation of cancer exome sequencing data reveals differences and common limitations of variant callers
¾G³ÕÀç Disentangling genetic and environmental risk factors for individual diseases from multiplex comorbidity networks
06¤ë12¤é ±i­§µY
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[Âå¸êºÓ¤h¯Z] 1052[¥ÍÂå¸ê±M°Q(Âå¸êºÓ³Õ)]
Instructors ±i³Õ½×¦Ñ®v¡B§Å©[«~¦Ñ®v
Location ¹Ï¸ê¤j¼Ó402±Ð«Ç (Rm. 402, Library, Information, and Research Building)
Time Monday,13:20-15:10
Website/
Information
Seminar on Big Data for Health
Special Issue of JBHI
http://jbhi.embs.org/2015/07/08/special-issue-big-data-for-health/

Articles in this Special Issue

  • Big data for health ¡V Andreu Perez et al
  • Big data, big knowledge: big data for personalised healthcare ¡V Viceconti et al
  • Predicting Days in Hospital Using Health Insurance Claims ¡V Xie et al
  • Predicting Asthma-Related Emergency Department Visits Using Big Data ¡V Ram et al
  • Hierarchical Classification of Large-Scale Patient Records for Automatic Treatment Stratification ¡V Mei et al
  • We Feel: Mapping emotion on Twitter ¡V Larsen et al
  • Symmetrical Compression Distance for Arrhythmia Discrimination in Cloud-based Big Data Services ¡V Lillo-Castellano et al
  • Optimal Drug Prediction from Personal Genomics Profiles ¡V Sheng et al
  • Toward Non-invasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data ¡V Mikhno et al
  • Big Heart Data: Advancing Health Informatics through Data Sharing in Cardiovascular Imaging ¡V Suinesiaputra et al

Grading:Participation 40%, Presentation 40%, Term Project (<5 pages, by IMRDC Review structure) 20%.

Date Speaker Topic Note
02¤ë13¤é ½Òµ{²Ä¤@¤Ñ¤W½Ò¡A¤½§GÂå¸ê²ÕºÓ³Õ±M°Q³ø§i¤è¦¡¤Î¶¶§Ç
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Predicting Days in Hospital Using Health Insurance Claims ¡V Xie et al
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Predicting Asthma-Related Emergency Department Visits Using Big Data ¡V Ram et al
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Hierarchical Classification of Large-Scale Patient Records for Automatic Treatment Stratification ¡V Mei et al
05¤ë01¤é -
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We Feel: Mapping emotion on Twitter ¡V Larsen et al
05¤ë15¤é ¬I¥à¬v
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Symmetrical Compression Distance for Arrhythmia Discrimination in Cloud-based Big Data Services ¡V Lillo-Castellano et al ¸É½Ò¡]¸É3/20¡^
05¤ë22¤é -
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Optimal Drug Prediction from Personal Genomics Profiles ¡V Sheng et al ¸É½Ò¡]¸É6/5¡A¤@¦¸¤W¨â°ó¡^
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Toward Non-invasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data ¡V Mikhno et al
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