蔣 榮先

研究成果

每年研究成果 1992 1999 2004 2007 2008 2009 2010 2011 2013 2014 2016 2018 2019 2021 2022 2022

• 91 Article
• 25 Conference contribution
• 7 Paper
• 3 Review article
• 6 更多
  • 2 Comment/debate
  • 1 Conference article
  • 1 Editorial
  • 1 Patent
  • 1 ???researchoutput.researchoutputtypes.workingpaper.preprint???

每年研究成果

每年研究成果

搜尋結果

• 2022

  An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users Temporal Preference

  Chiang, J. H., Ma, C. Y., Wang, C. S. & Hao, P. Y., 2022, (Accepted/In press) 於: IEEE Transactions on Knowledge and Data Engineering.

  研究成果: Article › 同行評審

  • Context-aware 100%
  • User Preferences 81%
  • Recommender systems 53%
  • Recommendations 34%
  • User Interaction 18%

• DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer Types

  Abdollahi, S., Lin, P. C. & Chiang, J. H., 2022, 於: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19, 3, p. 1336-1343 8 p.

  研究成果: Article › 同行評審

  • Deep Learning 90%
  • Cancer 67%
  • Genes 62%
  • Signature 62%
  • Learning 59%

• Literature-based translation from synthetic lethality screening into therapeutics targets: CD82 is a novel target for KRAS mutation in colon cancer

  Yang, H. T., Chien, M. Y., Chiang, J. H. & Lin, P. C., 2022 1月, 於: Computational and Structural Biotechnology Journal. 20, p. 5287-5295 9 p.

  研究成果: Article › 同行評審

  開啟存取

  • High Throughput Screening 72%
  • Genes 64%
  • Screening 63%
  • Colonic Neoplasms 61%
  • Synthetic Genes 59%

• MedCheX: An Efficient COVID-19 Detection Model for Clinical Usage

  WANG, CHI-SHIANG., SU, FANG-YI. & CHIANG, JUNG-HSIEN., 2022 7月 1, 於: Journal of Information Science and Engineering. 38, 4, p. 749-759 11 p.

  研究成果: Article › 同行評審

  • Encoder 100%
  • Model 73%
  • Model-based 67%
  • Classify 58%
  • Strategy 52%

• Possibilistic classification by support vector networks

  Hao, P. Y., Chiang, J. H. & Chen, Y. D., 2022 5月, 於: Neural Networks. 149, p. 40-56 17 p.

  研究成果: Article › 同行評審

  • Support Vector Machine 100%
  • Support vector machines 39%
  • Datasets 25%
  • Electric machine theory 25%
  • Fuzzy set theory 19%
  4 引文 斯高帕斯（Scopus）

• Predicting Mortality Using Machine Learning Algorithms in Patients Who Require Renal Replacement Therapy in the Critical Care Unit

  Chang, H. H., Chiang, J. H., Wang, C. S., Chiu, P. F., Abdel-Kader, K., Chen, H., Siew, E. D., Yabes, J., Murugan, R., Clermont, G., Palevsky, P. M. & Jhamb, M., 2022 9月, 於: Journal of Clinical Medicine. 11, 18, 5289.

  研究成果: Article › 同行評審

  開啟存取

  • Renal Replacement Therapy 100%
  • Machine Learning 97%
  • Critical Care 75%
  • Datasets 51%
  • Liver Failure 46%

• Robot-enhanced diabetes care for middleaged and older adults living with diabetes in the community: A small sample size mixedmethod evaluation

  Chiu, C. J., Hua, L. C., Chou, C. Y. & Chiang, J. H., 2022 4月, 於: PloS one. 17, 4 April, e0265384.

  研究成果: Article › 同行評審

  開啟存取

  • Sample Size 100%
  • Pharmacists 79%
  • Self-Directed Learning 49%
  • Self Efficacy 33%
  • Evaluation Studies 28%
• 2021

  Automated radiology alert system for pneumothorax detection on chest radiographs improves efficiency and diagnostic performance

  Kao, C. Y., Lin, C. Y., Chao, C. C., Huang, H. S., Lee, H. Y., Chang, C. M., Sung, K., Chen, T. R., Chiang, P. C., Huang, L. T., Wang, B., Liu, Y. S., Chiang, J. H., Wang, C. K. & Tsai, Y. S., 2021 7月, 於: Diagnostics. 11, 7, 1182.

  研究成果: Article › 同行評審

  開啟存取

  • Pneumothorax 100%
  • Radiology 91%
  • Thorax 63%
  • Deep Learning 63%
  • Time 32%
  3 引文 斯高帕斯（Scopus）

• Comprehensive assessments of germline deletion structural variants reveal the association between prognostic MUC4 and CEP72 deletions and immune response gene expression in colorectal cancer patients

  Lin, P. C., Chen, H. O., Lee, C. J., Yeh, Y. M., Shen, M. R. & Chiang, J. H., 2021 12月, 於: Human Genomics. 15, 1, 3.

  研究成果: Article › 同行評審

  開啟存取

  • Area Under the Curve 100%
  • Marker 61%
  • Colorectal Neoplasms 55%
  • Gene Expression 41%
  • Protein 28%
  2 引文 斯高帕斯（Scopus）

• Contextualizing Genes by Using Text-Mined Co-Occurrence Features for Cancer Gene Panel Discovery

  Chen, H. O., Lin, P. C., Liu, C. R., Wang, C. S. & Chiang, J. H., 2021 10月 25, 於: Frontiers in Genetics. 12, 771435.

  研究成果: Article › 同行評審

  開啟存取

  • Neoplasm Genes 100%
  • Genetic Association Studies 98%
  • Data Mining 55%
  • Genes 37%
  • ROC Curve 26%
  3 引文 斯高帕斯（Scopus）

• Deciphering genes associated with diffuse large B-cell lymphoma with lymphomatous effusions: A mutational accumulation scoring approach

  Abdollahi, S., Dehghanian, S. Z., Hung, L. Y., Yang, S. J., Chen, D. P., Medeiros, L. J., Chiang, J. H. & Chang, K. C., 2021 12月, 於: Biomarker Research. 9, 1, 74.

  研究成果: Article › 同行評審

  開啟存取

  • Oncogenic 100%
  • Lymphoma, Large B-Cell, Diffuse 80%
  • Microarrays 77%
  • Mutation 60%
  • Protein 29%
  2 引文 斯高帕斯（Scopus）

• TDD-BPR: The topic diversity discovering on Bayesian personalized ranking for personalized recommender system

  Wang, C. S., Chen, B. S. & Chiang, J. H., 2021 6月 21, 於: Neurocomputing. 441, p. 202-213 12 p.

  研究成果: Article › 同行評審

  • Recommender systems 100%
  • Datasets 79%
  • Machine Learning 56%
  • Transfer learning 29%
  • Experiments 8%
  1 引文 斯高帕斯（Scopus）

• WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models

  Abdollahi, S., Lin, P. C. & Chiang, J. H., 2021 10月 1, 於: IEEE Journal of Biomedical and Health Informatics. 25, 10, p. 4052-4063 12 p.

  研究成果: Article › 同行評審

  • Deep Learning 100%
  • Proteins 66%
  • Deep learning 64%
  • Amino acids 34%
  • Dipeptides 24%
  4 引文 斯高帕斯（Scopus）
• 2020

  Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients with SARS-CoV-2 at a Smart Quarantine Station: Observational Study

  Liu, P. Y., Tsai, Y. S., Chen, P. L., Tsai, H. P., Hsu, L. W., Wang, C. S., Lee, N. Y., Huang, M. S., Wu, Y. C., Ko, W. C., Yang, Y. C., Chiang, J. H. & Shen, M. R., 2020 10月, 於: Journal of medical Internet research. 22, 10, e19878.

  研究成果: Article › 同行評審

  開啟存取

  • Isolation Hospitals 100%
  • SARS Virus 86%
  • Artificial Intelligence 77%
  • Observational Studies 45%
  • Quarantine 21%
  5 引文 斯高帕斯（Scopus）

• Automated Recognition of Regional Wall Motion Abnormalities Through Deep Neural Network Interpretation of Transthoracic Echocardiography

  Huang, M. S., Wang, C. S., Chiang, J. H., Liu, P. Y. & Tsai, W. C., 2020 10月 20, 於: Circulation. 142, 16, p. 1510-1520 11 p.

  研究成果: Article › 同行評審

  開啟存取

  • Echocardiography 100%
  • Computer Neural Networks 62%
  • Datasets 56%
  • Spatio-Temporal Analysis 34%
  • Cardiologists 26%
  20 引文 斯高帕斯（Scopus）

• Precise uncertain significance prediction using latent space matrix factorization models: genomics variant and heterogeneous clinical data-driven approaches

  Abdollahi, S., Lin, P., Shen, M. & Chiang, J., 2020 11月 14, 於: Briefings in bioinformatics.

  研究成果: Article › 同行評審
  4 引文 斯高帕斯（Scopus）

• Reproducible machine learning methods for lung cancer detection using computed tomography images: Algorithm development and validation

  Yu, K. H., Lee, T. L. M., Yen, M. H., Kou, S. C., Rosen, B., Chiang, J. H. & Kohane, I. S., 2020 8月, 於: Journal of medical Internet research. 22, 8, e16709.

  研究成果: Article › 同行評審

  開啟存取

  • Machine Learning 100%
  • Lung Neoplasms 70%
  • Data Science 61%
  • Tomography 60%
  • Reproducibility of Results 19%
  17 引文 斯高帕斯（Scopus）
• 2019

  Detecting potential adverse drug reactions using a deep neural network model

  Wang, C. S., Lin, P. J., Cheng, C. L., Tai, S. H., Yang, Y. H. K. & Chiang, J. H., 2019 2月, 於: Journal of medical Internet research. 21, 2, e11016.

  研究成果: Article › 同行評審

  開啟存取

  • Computer Neural Networks 100%
  • Drug-Related Side Effects and Adverse Reactions 71%
  • Pharmaceutical Preparations 31%
  • Datasets 9%
  • Pharmacovigilance 7%
  49 引文 斯高帕斯（Scopus）

• Real-time event embedding for POI recommendation

  Hao, P. Y., Cheang, W. H. & Chiang, J. H., 2019 7月 15, 於: Neurocomputing. 349, p. 1-11 11 p.

  研究成果: Article › 同行評審

  • Social Networking 100%
  • Recommender systems 36%
  • Factorization 36%
  • Convolutional neural networks 33%
  • Datasets 23%
  34 引文 斯高帕斯（Scopus）

• Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach

  The ALS Stratification Consortium, 2019, 於: Scientific reports. 9, 1, 690.

  研究成果: Article › 同行評審

  開啟存取

  • Crowdsourcing 100%
  • Cluster Analysis 13%
  • Clinical Trials 10%
  • Machine Learning 8%
  • Neurodegenerative Diseases 6%
  35 引文 斯高帕斯（Scopus）

• Towards Automated Meta-analysis of Biomedical Texts in the Field of Cell-based Immunotherapy

  Devyatkin, D. A., Molodchenkov, A. I., Lukin, A. V., Kim, Y. S., Boyko, A. A., Karalkin, P. A., Chiang, J., Volkova, G. D. & Lupatov, A. Y., 2019 9月 1, 於: Biomedical Chemistry: Research and Methods. 2, 3, p. e00109

  研究成果: Article › 同行評審
• 2018

  A Cloud-Based Metabolite and Chemical Prioritization System for the Biology/Disease-Driven Human Proteome Project

  Yu, K., Lee, T. M., Chen, Y., Ré, C., Kou, S. C., Chiang, J-H., Snyder, M. & Kohane, I. S., 2018 8月 21, 於: Journal of Proteome Research.

  研究成果: Article › 同行評審
  7 引文 斯高帕斯（Scopus）

• Gene ontology concept recognition using named concept: Understanding the various presentations of the gene functions in biomedical literature

  Yang, C. J. & Chiang, J. H., 2018 1月 1, 於: Database. 2018, 2018

  研究成果: Article › 同行評審

  開啟存取

  • Gene Ontology 100%
  • gene ontology 94%
  • Genes 83%
  • Biological Marker 78%
  • Ontology 73%
  2 引文 斯高帕斯（Scopus）

• Surface Molecular Markers of Cancer Stem Cells: Computation Analysis of Full-Text Scientific Articles

  Suvorov, R. E., Kim, Y. S., Gisina, A. M., Chiang, J. H., Yarygin, K. N. & Lupatov, A. Y., 2018 11月 1, 於: Bulletin of Experimental Biology and Medicine. 166, 1, p. 135-140 6 p.

  研究成果: Article › 同行評審

  • Molecular Marker 100%
  • Mining 75%
  • Marker 58%
  • Data Mining 40%
  • Names 31%
  7 引文 斯高帕斯（Scopus）

• Systematic Protein Prioritization for Targeted Proteomics Studies through Literature Mining

  Yu, K. H., Lee, T. L. M., Wang, C. S., Chen, Y. J., Ré, C., Kou, S. C., Chiang, J-H., Kohane, I. S. & Snyder, M., 2018 4月 6, 於: Journal of Proteome Research. 17, 4, p. 1383-1396 14 p.

  研究成果: Article › 同行評審

  • Mining 100%
  • Proteomics 80%
  • Protein 36%
  • Proteins 32%
  • Proteome 18%
  15 引文 斯高帕斯（Scopus）

• Using Heterogeneous Social Media as Auxiliary Information to Improve Hotel Recommendation Performance

  Chang, J. H., Tsai, C. E. & Chiang, J. H., 2018 7月 13, 於: IEEE Access. 6, p. 42647-42660 14 p., 8410908.

  研究成果: Article › 同行評審

  • Hotels 100%
  • Recommender systems 82%
  • Data privacy 21%
  • Factorization 20%
  • Experiments 7%
  5 引文 斯高帕斯（Scopus）
• 2017

  Cancer stem cell molecular markers verified in vivo

  Kim, Y. S., Kaidina, A. M., Chiang, J. H., Yarygin, K. N. & Lupatov, A. Y., 2017 1月 1, 於: Biochemistry (Moscow) Supplement Series B: Biomedical Chemistry. 11, 1, p. 43-54 12 p.

  研究成果: Article › 同行評審

  • Cell Marker 100%
  • Molecular Marker 92%
  • Marker 53%
  • Epithelial Cell Adhesion Molecule 21%
  • Cell Separation 17%
  14 引文 斯高帕斯（Scopus）

• Literature-based discovery of new candidates for drug repurposing

  Yang, H. T., Ju, J. H., Wong, Y. T., Shmulevich, I. & Chiang, J. H., 2017 5月 1, 於: Briefings in bioinformatics. 18, 3, p. 488-497 10 p.

  研究成果: Article › 同行評審

  開啟存取

  • Knowledge Discovery 100%
  • Drug Repositioning 86%
  • Genes 60%
  • Drug Development 29%
  • Text mining 24%
  54 引文 斯高帕斯（Scopus）
• 2016

  Capturing depression with your smartphone: Validity and utilization of iHOPE for depressed patients in Taiwan

  Chin-lun Hung, G., Li, M. S., Chen, Y. L. & Chiang, J. H., 2016 3月 1, 於: European Psychiatry. 33, S1, p. s283-s283

  研究成果: Article › 同行評審

• Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study

  Hung, G. C., Yang, P., Chang, C., Chiang, J. & Chen, Y., 2016 10月 10, 於: JMIR Research Protocols. 5, 3, p. e160

  研究成果: Article › 同行評審

• Smartphone-based ecological momentary assessment for Chinese patients with depression: An exploratory study in Taiwan

  Hung, S., Li, M. S., Chen, Y. L., Chiang, J. H., Chen, Y. Y. & Hung, G. C. L., 2016 10月 1, 於: Asian Journal of Psychiatry. 23, p. 131-136 6 p.

  研究成果: Article › 同行評審

  • Ecological Momentary Assessment 100%
  • Smartphone 86%
  • Taiwan 60%
  • Depression 47%
  • sleep 25%
  26 引文 斯高帕斯（Scopus）
• 2014

  An epigenetic biomarker panel for glioblastoma multiforme personalized medicine through DNA methylation analysis of human embryonic stem cell-like signature

  Chiang, J. H., Cheng, W. S., Hood, L. & Tian, Q., 2014 5月 1, 於: OMICS A Journal of Integrative Biology. 18, 5, p. 310-323 14 p.

  研究成果: Article › 同行評審

  • Human Embryonic Stem Cells 100%
  • Precision Medicine 89%
  • DNA Methylation 81%
  • Glioblastoma 81%
  • Biological Marker 74%
  22 引文 斯高帕斯（Scopus）

• Discovering novel protein-protein interactions by measuring the protein semantic similarity from the biomedical literature

  Chiang, J. H. & Ju, J. H., 2014 12月 29, 於: Journal of Bioinformatics and Computational Biology. 12, 6, 1442008.

  研究成果: Article › 同行評審

  • Semantics 100%
  • Proteins 88%
  • Protein 39%
  • Macros 22%
  • Classifier 14%
  4 引文 斯高帕斯（Scopus）

• Molecular mechanisms of system responses to novel stimuli are predictable from public data

  Danziger, S. A., Ratushny, A. V., Smith, J. J., Saleem, R. A., Wan, Y., Arens, C. E., Armstrong, A. M., Sitko, K., Chen, W. M., Chiang, J. H., Reiss, D. J., Baliga, N. S. & Aitchison, J. D., 2014 2月, 於: Nucleic acids research. 42, 3, p. 1442-1460 19 p.

  研究成果: Article › 同行評審

  開啟存取

  • Regulator Genes 95%
  • Peroxisomes 58%
  • Laboratory Animals 52%
  • Saccharomyces cerevisiae 42%
  • Transcriptome 42%
  20 引文 斯高帕斯（Scopus）

• NCS: Incorporating positioning data to quantify nucleosome stability in yeast

  Chiang, J. H. & Lin, C. H., 2014 3月, 於: Bioinformatics. 30, 6, p. 761-767 7 p.

  研究成果: Article › 同行評審

  開啟存取

  • Yeast 100%
  • Positioning 97%
  • Nucleosomes 85%
  • Dinucleotide 78%
  • Histone 77%

• Nuclear pore complex evolution: A trypanosome Mlp analogue functions in chromosomal segregation but lacks transcriptional barrier activity

  Holden, J. M., Koreny, L., Obado, S., Ratushny, A. V., Chen, W. M., Chiang, J. H., Kelly, S., Chait, B. T., Aitchison, J. D., Rout, M. P. & Field, M. C., 2014 5月 1, 於: Molecular Biology of the Cell. 25, 9, p. 1421-1436 16 p.

  研究成果: Article › 同行評審

  開啟存取

  • Nuclear Pore 100%
  • Trypanosoma 93%
  • Spindle Apparatus 46%
  • Chromatin 32%
  • Nuclear Lamina 27%
  22 引文 斯高帕斯（Scopus）

• Pattern analysis in daily physical activity data for personal health management

  Chiang, J. H., Yang, P. C. & Tu, H., 2014 8月, 於: Pervasive and Mobile Computing. 13, p. 13-25 13 p.

  研究成果: Article › 同行評審

  • Medical problems 100%
  • Smartphones 84%
  • Health 66%
  • Pattern recognition systems 62%
  • Energy Metabolism 57%
  26 引文 斯高帕斯（Scopus）
• 2013

  A role for the nucleoporin Nup170p in chromatin structure and gene silencing

  Van De Vosse, D. W., Wan, Y., Lapetina, D. L., Chen, W. M., Chiang, J. H., Aitchison, J. D. & Wozniak, R. W., 2013 2月 28, 於: Cell. 152, 5, p. 969-983 15 p.

  研究成果: Article › 同行評審

  • Nuclear Pore Complex Proteins 100%
  • Nuclear Pore 90%
  • Gene Silencing 71%
  • Chromatin 59%
  • Pore 44%
  104 引文 斯高帕斯（Scopus）

• CGPredictor: A systematic integrated analytic tool for mining and examining genome-scale cancer independent prognostic epigenetic marker panels

  Cheng, W. S. & Chiang, J. H., 2013, 於: BMC systems biology. 7, S10.

  研究成果: Article › 同行評審

  開啟存取

  • Tumor Biomarkers 100%
  • Mining 74%
  • Genome 65%
  • Genomics 61%
  • Cancer 61%

• Optimizing Information in Next-Generation-Sequencing (NGS) Reads for Improving De Novo Genome Assembly

  Liu, T., Tsai, C. H., Lee, W. B. & Chiang, J. H., 2013 7月 29, 於: PloS one. 8, 7, e69503.

  研究成果: Article › 同行評審

  • genome assembly 100%
  • High-Throughput Nucleotide Sequencing 76%
  • Genome 54%
  • Length 47%
  • DNA 40%
  8 引文 斯高帕斯（Scopus）

• PhosphoChain: A novel algorithm to predict kinase and phosphatase networks from high-throughput expression data

  Chen, W. M., Danziger, S. A., Chiang, J. H. & Aitchison, J. D., 2013, 於: Bioinformatics. 29, 19, p. 2435-2444 10 p.

  研究成果: Article › 同行評審

  開啟存取

  • Phosphatases 100%
  • Phosphorylation 95%
  • High Throughput 83%
  • Yeast 82%
  • Protein Phosphorylation 79%
  7 引文 斯高帕斯（Scopus）
• 2012

  A systems biology approach to solving the puzzle of unknown genomic gene-function association using grid-ready SVM committee machines

  Lee, T. L. M. & Chiang, J. H., 2012, 於: IEEE Computational Intelligence Magazine. 7, 4, p. 46-54 9 p., 6331720.

  研究成果: Article › 同行評審

  • Systems Biology 100%
  • Genomics 89%
  • Protein 80%
  • Gene 75%
  • Genes 73%
  1 引文 斯高帕斯（Scopus）

• AutoBind: Automatic extraction of protein-ligand-binding affinity data from biological literature

  Chang, D. T. H., Ke, C. H., Lin, J. H. & Chiang, J. H., 2012 8月, 於: Bioinformatics. 28, 16, p. 2162-2168 7 p., bts367.

  研究成果: Article › 同行評審

  • Protein 78%
  • Protein Binding 75%
  • Proteins 68%
  • Kd 57%
  • Ligands 53%
  9 引文 斯高帕斯（Scopus）
• 2011

  An integrative approach to identifying cancer chemoresistance-associated pathways

  Chao, S. Y., Chiang, J. H., Huang, A. M. & Chang, W. S., 2011, 於: BMC Medical Genomics. 4, 23.

  研究成果: Article › 同行評審

  • Drug Therapy 100%
  • Genes 57%
  • Neoplasms 54%
  • Databases 34%
  • Critical Pathways 32%
  18 引文 斯高帕斯（Scopus）

• Automating the process of critical appraisal and assessing the strength of evidence with information extraction technology

  Lin, J. W., Chang, C. H., Lin, M. W., Ebell, M. H. & Chiang, J. H., 2011 8月, 於: Journal of Evaluation in Clinical Practice. 17, 4, p. 832-838 7 p.

  研究成果: Article › 同行評審

  • Information Technology 100%
  • Information Storage and Retrieval 76%
  • Journal Impact Factor 42%
  • evidence 35%
  • Data Mining 34%
  3 引文 斯高帕斯（Scopus）

• Condensing biomedical journal texts through paragraph ranking

  Chiang, J. H., Liu, H. H. & Huang, Y. T., 2011 4月, 於: Bioinformatics. 27, 8, p. 1143-1149 7 p., btr080.

  研究成果: Article › 同行評審

  • Ranking 100%
  • Text 91%
  • Availability 69%
  • Time 35%
  • Evaluation 20%
  4 引文 斯高帕斯（Scopus）

• Transcriptional activation of the Axl and PDGFR-α by c-Met through a ras- and Src-independent mechanism in human bladder cancer

  Yeh, C. Y., Shin, S. M., Yeh, H. H., Wu, T. J., Shin, J. W., Chang, T. Y., Raghavaraju, G., Lee, C. T., Chiang, J. H., Tseng, V. S., Lee, Y. C. G., Shen, C. H., Chow, N. H. & Liu, H. S., 2011 4月 16, 於: BMC cancer. 11, 139.

  研究成果: Article › 同行評審

  開啟存取

  • Platelet-Derived Growth Factor alpha Receptor 100%
  • Receptor Protein-Tyrosine Kinases 76%
  • Urinary Bladder Neoplasms 68%
  • Transcriptional Activation 64%
  • Receptor Cross-Talk 22%
  55 引文 斯高帕斯（Scopus）

• Transcriptome profiling reveals a novel role for trichostatin a in antagonizing histone chaperone Chz1 mediated telomere anti-silencing

  Wan, Y., Chen, W., Xing, J., Tan, J., Li, B., Chen, H., Lin, Z., Chiang, J. H. & Ramsey, S., 2011 8月 4, 於: FEBS Letters. 585, 15, p. 2519-2525 7 p.

  研究成果: Article › 同行評審

  開啟存取

  • Trichostatin 100%
  • Histone Chaperones 77%
  • Histone 53%
  • Gene Expression Profiling 51%
  • Chromatin Assembly and Disassembly 8%
  5 引文 斯高帕斯（Scopus）
• 2010

  Analysis of chemotherapy response programs in ovarian cancers by the next-generation sequencing technologies

  Cheng, L., Lu, W., Kulkarni, B., Pejovic, T., Yan, X., Chiang, J. H., Hood, L., Odunsi, K. & Lin, B., 2010 5月, 於: Gynecologic oncology. 117, 2, p. 159-169 11 p.

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