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[¥Í¸êºÓ¤h¯Z] | 1071[¥ÍÂå¸ê±M°QI(ºÓ¤@)] |
Instructors | ·¨¥Ã¥¿¦Ñ®v¡B³¯¨ô¶h¦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=183 |
Date | Speaker | Topic | Note |
---|---|---|---|
09¤ë10¤é | - | ¶}¾Ç²Ä¤@¶g | |
10¤ë01¤é | §d©û | Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer | |
Ĭ¤lµ¾ | Diagnostic utility of exome sequencing in the evaluation of neuromuscular disorders | ||
10¤ë08¤é
(12:30¤W½Ò) |
§d¬RùÜ | Reactome graph database: Efficient access to complex pathway data | |
°¨ÖqÓÚ | Molecular profiles and tumor mutational burden analysis in Chinese patients with gynecologic cancers | ||
Áé©|ÀM | Predicting Alzheimer¡¦s disease: a neuroimaging study with 3D convolutional neural networks | ||
10¤ë15¤é | ³¯«a§Ó | Machine learning identifies a compact Gene Set for Monitoring the Circadian Clock in Human Blood | |
J¼z²Þ | Intervention Mapping Approach in the Design of an Interactive Mobile Health Application to Improve Self-care in Heart Failure | ||
10¤ë22¤é | ³¯À³¤¸ | Identification of an oncogenic network with prognostic and therapeutic value in prostate cancer | |
ªô©É°a | A Novel mHealth Approach for a Patient-Centered Medication and Health Management System in Taiwan¡GPilot Study | ||
10¤ë29¤é | §f©v¬v | Multi-omics analyses reveal metabolic alterations regulated by hepatitis B virus core protein in hepatocellular carcinoma cells | |
¶À²ú´@ | Knowledge-Guided Bioinformatics Model for Identifying Autism Spectrum Disorder Diagnostic MicroRNA Biomarkers | ||
11¤ë05¤é | §d®Û¯ø | Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images | |
¤è«ä±Ó | Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data | ||
11¤ë12¤é | ªL¨Î¦ö | Dynamic Routing Between Capsules | |
S®¶«Û | Microbiota Diurnal Rhythmicity Programs Host Transcriptome Oscillations | ||
11¤ë19¤é | ´öª÷¿Î | Sex-specific impact of prenatal androgens on social brain default mode subsystems | |
³¯¹ÅÀs | Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma | ||
11¤ë26¤é | ¼B¶®´@ | SMARTphone and social media-based Cardiac Rehabilitation and Secondary Prevention (SMART-CR/SP) for patients with coronary heart disease in China: a randomised controlled trial protocol | |
§dõ±s | A machine learning-based framework to identify type 2 diabetes through electronic health records | ||
12¤ë03¤é | ³¯à±¯ø | Evaluation of high-throughput isomiR identification tools_illuminating the early isomiRome of Tribolium castaneum | |
¨ô©v¾± | A system for classifying vegetative structures on coffee branches based on videos recorded in the field by a mobile device | ||
12¤ë10¤é | ¿½¦Ë»ö | Optimizing a drone network to deliver automated external defibrillators | |
ð¬Ó | Early-onset epileptic encephalopathy with de novo SCN8A mutation | ||
12¤ë22¤é(Sat.) (10:10~15:10) |
§õ²[ | Feature selection before EEG classification supports the diagnosis of Alzheimer¡¦s disease | ²Ä3¸` |
¤ý¹ÅÂ@ | Dementia Diagnosis using MRI Cortical Thickness, Shape, Texture, and Volumetry | ²Ä4¸` | |
¦óÎrè® | Universal method for robust detection of circadian state from gene expression | ²Ä5¸` | |
·¨´@¦w | A Clinical Decision Support Engine Based on a National Medication Repository for the Detection of Potential Duplicate Medications: Design and Evaluation | ²Ä6¸` | |
12¤ë24¤é | ªL·¶®x | A new hybrid coding for protein secondary structure prediction based on primary structure similarit | |
ÅǺ³¶v | Recovery of gut microbiota of healthy adults following antibiotic exposure |
[¥Í¸êºÓ¤h¯Z] | 1071[¥ÍÂå¸ê±M°QII(¥Í¸êºÓ¤GI)] |
Instructors | ªL®¶¼y¦Ñ®v¡B¤ý¬ê¶W¦Ñ®v |
Location | ¦u¤¯¼Ó103±Ð«Ç (Rm. 103, SoRen Building) |
Time | Monday,13:20-15:10 |
Website | http://video.ym.edu.tw/course/view.php?id=184 |
1071[¥ÍÂå¸ê±M°Q(¥Í¸êºÓ¤GI)]-³W©w |
Date | Speaker | Topic | Note |
---|---|---|---|
09¤ë10¤é | - | ¶}¾Ç²Ä¤@¶g | |
10¤ë08¤é | §õ¨ä®Ù | Somatic Mutational Landscape of Splicing Factor Genes and Their Functional Consequences across 33 Cancer Types | |
10¤ë15¤é | ³¯¾_ | The Immune Landscape of Cancer | |
10¤ë22¤é | §d¹Å¿o | Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas | |
11¤ë05¤é | ©P³§Ê | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers | |
11¤ë12¤é | ªô§´b | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas | |
11¤ë19¤é | ±iì¹Å | Systematic Analysis of Splice-Site-Creating Mutations in Cancer | |
11¤ë26¤é | ¿àµÎ´@ | A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples | |
12¤ë03¤é | ¶À¤d®e | Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers | |
12¤ë10¤é | ªL^¹Å | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images |
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[¥Í¸êºÓ¤h¯Z] | 1071[¥ÍÂå¸ê±M°QIII(¥Í¸êºÓ¤GII)] |
Instructors | ¶À«ÛµØ¦Ñ®v¡BÁéÖö¤è¦Ñ®v |
Location | ¦u¤¯¼Ó319±Ð«Ç (Rm. 319, SoRen Building) |
Time | Monday,13:20-15:10 |
Website | http://video.ym.edu.tw/course/view.php?id=185 |
1071[¥ÍÂå¸ê±M°Q(¥Í¸êºÓ¤GII)]-³W©w |
Date | Speaker | Topic | Note |
---|---|---|---|
09¤ë10¤é | - | ¶}¾Ç²Ä¤@¶g | |
09¤ë17¤é | - | ||
10¤ë01¤é | Team 1, 1 ¶À¤å¼Ý | Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers | |
10¤ë08¤é | Team 2, 1 ±iªF²[ | Pathogenic Germline Variants in 10,389 Adult Cancers | |
10¤ë15¤é | Team 3, 1 °h¿ï | °±¤î¤W½Ò¤@¦¸ | |
10¤ë22¤é | Team 1, 2 ¦¶«ß¦w | A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples | |
10¤ë29¤é | - | ||
11¤ë05¤é | - | ´Á¤¤¦Ò¶g | |
11¤ë12¤é | Team 2, 2 §õªÃ¿« | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines | |
11¤ë19¤é | Team 3, 2 ¸®aÞ³ | Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas | |
11¤ë26¤é | Team 1, 3 ©P¨Î»ö | Systematic Analysis of Splice-Site-Creating Mutations in Cancer | |
12¤ë03¤é | Team 2, 3 ¶ÀÞmÚ¬ | Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics | |
12¤ë10¤é | Team 3, 3 ½²©sªÚ | Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas | |
12¤ë17¤é | - | ||
12¤ë24¤é | - | ||
2017¦~01¤ë07¤é | - | ´Á¥½¦Ò¶g |
[Âå¸êºÓ¤h¯Z] | 1071[¥ÍÂå¸ê±M°QIV(Âå¸êºÓ¤G¡B³Õ¯Z)] |
Instructors | ±i³Õ½×¦Ñ®v¡B§Å©[«~¦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=186 |
Date | Speaker | Topic | Note |
---|---|---|---|
09¤ë10¤é | - | ¶}¾Ç²Ä¤@¶g | |
09¤ë17¤é | |||
10¤ë01¤é | |||
10¤ë08¤é | |||
10¤ë15¤é | |||
10¤ë22¤é | |||
10¤ë29¤é | |||
11¤ë05¤é | - | ´Á¤¤¦Ò¶g | |
11¤ë12¤é | |||
11¤ë19¤é | |||
11¤ë26¤é | |||
12¤ë03¤é | |||
12¤ë10¤é | |||
12¤ë17¤é | |||
12¤ë24¤é | |||
2017¦~01¤ë07¤é | - | ´Á¥½¦Ò¶g |