YANG MING  CHIAO TUNG INSTITUTE OF BIOMEDICAL INFORMATICS
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[¥Í¸êºÓ¤h¯Z] 1072[¥ÍÂå¸ê±M°Q(¥Í¸êºÓ¯ZI)]
Instructors ªL®¶¼y¦Ñ®v¡B¤ý¬ê¶W¦Ñ®v¡B³¯¨ô¶h¦Ñ®v
Location ¦u¤¯¼Ó102±Ð«Ç (Rm. 102, SoRen Building)
Time Monday,13:20-15:10
Website http://video.ym.edu.tw/course/view.php?id=191
http://eeclass.ym.edu.tw/
1072[¥ÍÂå¸ê±M°Q(¥Í¸êºÓ¯ZI)]-³W©w
Date Schedule
02¤ë18¤é ·Ç³Æ¶g
02¤ë25¤é ·Ç³Æ¶g
03¤ë04¤é [Introduction and Material and Methods] 1
03¤ë11¤é [Introduction and Material and Methods] 2
03¤ë18¤é [Introduction and Material and Methods] 3
03¤ë25¤é [Introduction and Material and Methods] 4
04¤ë01¤é [Introduction and Material and Methods] 5
04¤ë08¤é ®Õ»Ú¬¡°Ê¶g(©ñ°²¤@¤Ñ)
04¤ë15¤é [Introduction and Material and Methods] 6
04¤ë22¤é ©Ò¤W¬¡°Ê-¤jreview
04¤ë29¤é [Results, Discussion, and Conclusions] 1
05¤ë06¤é [Results, Discussion, and Conclusions] 2
05¤ë13¤é [Results, Discussion, and Conclusions] 3
05¤ë20¤é [Results, Discussion, and Conclusions] 4
05¤ë27¤é [Results, Discussion, and Conclusions] 5
06¤ë03¤é [Results, Discussion, and Conclusions] 6
06¤ë10¤é ©Ò¤W¬¡°Ê-©ç·Ó¤Î°eÂÂÀ\·|
06¤ë17¤é ´Á¥½¦Ò¶g
Speaker Topic
1 ­S®¶«Û Maturation of the infant microbiome community structure and function across multiple body sites and in relation to mode of delivery
2 ³¯À³¤¸ Single-cell microRNA-mRNA co-sequencing reveals non-genetic heterogeneity and mechanisms of microRNA regulation
3 ªL·¶®x An integrative machine learning approach for prediction of toxicity-related drug safety
4 §d¬RùÜ Systematic integration of biomedical knowledge prioritizes drugs for repurposing
5 ¶À²ú´@ Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
6 §d©û Characterization of Nigerian breast cancer reveals prevalent homologous recombination deficiency and aggressive molecular features

[¥Í¸êºÓ¤h¯Z] 1072[¥ÍÂå¸ê±M°Q(¥Í¸êºÓ¯ZII)]
Instructors ¶À«ÛµØ¦Ñ®v¡B·¨¥Ã¥¿¦Ñ®v¡BÁéÖö¤è¦Ñ®v
Location ¦u¤¯¼Ó104±Ð«Ç (Rm. 104, SoRen Building)
Time Monday,13:20-15:10
Website http://video.ym.edu.tw/course/view.php?id=192
http://eeclass.ym.edu.tw/
1072[¥ÍÂå¸ê±M°Q(¥Í¸êºÓ¯ZII)]-³W©w
Date Speaker Topic Note
01¤ë25¤é - ¥»¾Ç´Á¶i¦æ¤è¦¡¤§¸Ñ»¡
02¤ë18¤é - ·Ç³Æ¶g
02¤ë25¤é 1 ´öª÷¿Î [Introduction and Material and Methods]
Multilayer View of Pathogenic SNVs in Human Interactome through In Silico Edgetic Profiling
2 ­ð¬Ó [Introduction and Material and Methods]
Modeling spike-wave discharges by a complex network of neuronal oscillators
03¤ë04¤é 1 ´öª÷¿Î [Results and discussion]
Multilayer View of Pathogenic SNVs in Human Interactome through In Silico Edgetic Profiling
03¤ë11¤é 2 ­ð¬Ó [Results and discussion]
Modeling spike-wave discharges by a complex network of neuronal oscillators
03¤ë18¤é 3 ¤è«ä±Ó [Introduction and Material and Methods]
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
4 ³¯à±¯ø [Introduction and Material and Methods]
Tumor classification and biomarker discovery based on the 5¡¦isomiR expression level
03¤ë25¤é 3 ¤è«ä±Ó [Results and discussion]
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
04¤ë01¤é 4 ³¯à±¯ø [Results and discussion]
Tumor classification and biomarker discovery based on the 5¡¦isomiR expression level
04¤ë08¤é - ®Õ»Ú¬¡°Ê¶g(©ñ°²¤@¤Ñ)
04¤ë15¤é - ´Á¤¤¦Ò¶g
04¤ë22¤é - ©Ò¤W¬¡°Ê-¤jreview
04¤ë29¤é 5 Ĭ¤lµ¾ [Introduction and Material and Methods]
Phenotype-driven gene prioritization for rare diseases using graph convolution on heterogeneous networks
6 ³¯¹ÅÀs [Introduction and Material and Methods]
Conditional generative adversarial network for gene expression inference
05¤ë06¤é 5 Ĭ¤lµ¾ [Results and discussion]
Phenotype-driven gene prioritization for rare diseases using graph convolution on heterogeneous networks
05¤ë13¤é 6 ³¯¹ÅÀs [Results and discussion]
Conditional generative adversarial network for gene expression inference
05¤ë20¤é 7 Ĭ¸êÓ} [Introduction and Material and Methods]
A five-gene signature predicts overall survival of patients with papillary renal cell carcinoma
8 §õ¨ä®Ù [Introduction and Material and Methods]
Analysis of Single-Cell RNA-Seq Identifies Cell-Cell Communication Associated with Tumor Characteristics
05¤ë27¤é 7 Ĭ¸êÓ} [Results and discussion]
A five-gene signature predicts overall survival of patients with papillary renal cell carcinoma
06¤ë03¤é 8 §õ¨ä®Ù [Results and discussion]
Analysis of Single-Cell RNA-Seq Identifies Cell-Cell Communication Associated with Tumor Characteristics
06¤ë10¤é - ©Ò¤W¬¡°Ê-©ç·Ó¤Î°eÂÂÀ\·|
06¤ë17¤é - ´Á¥½¦Ò¶g

[Âå¸êºÓ¤h¯Z] 1072[¥ÍÂå¸ê±M°Q(Âå¸êºÓ³Õ)]
Instructors ±i³Õ½×¦Ñ®v¡B§Å©[«~¦Ñ®v¡B§õ°ê±l¦Ñ®v
Location ¦u¤¯¼Ó101±Ð«Ç (Rm. 101, SoRen Building)
Time Monday,13:20-15:10
Website http://video.ym.edu.tw/course/view.php?id=193
Date Speaker Topic Note
02¤ë18¤é - ½Òµ{²Ä¤@¤Ñ¤W½Ò¡A¤½§G³ø§i¤è¦¡¤Î¶¶§Ç
02¤ë25¤é
03¤ë04¤é
03¤ë11¤é
03¤ë18¤é
03¤ë25¤é
04¤ë01¤é
04¤ë08¤é - ®Õ»Ú¬¡°Ê¶g(©ñ°²¤@¤Ñ)
04¤ë15¤é - ´Á¤¤¦Ò¶g
04¤ë22¤é - ©Ò¤W¬¡°Ê-¤jreview
04¤ë29¤é
05¤ë06¤é
05¤ë13¤é
05¤ë20¤é
05¤ë27¤é
06¤ë03¤é
06¤ë10¤é - ©Ò¤W¬¡°Ê-©ç·Ó¤Î°eÂÂÀ\·|
06¤ë17¤é - ´Á¥½¦Ò¶g

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