Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Yuan-chin Ivan Chang"'
Autor:
An-Jen Chiang, Chia-Jung Li, Kuan-Hao Tsui, Chung Chang, Yuan-chin Ivan Chang, Li-Wen Chen, Tsung-Hsien Chang, Jim Jinn-Chyuan Sheu
Publikováno v:
Biomolecules, Vol 11, Iss 1, p 37 (2020)
Cervical cancer is a common gynecological malignancy, accounting for 10% of all gynecological cancers. Recently, targeted therapy for cervical cancer has shown unprecedented advantages. Several studies have shown that ubiquitin conjugating enzyme E2
Externí odkaz:
https://doaj.org/article/4b0a5e8d4b914cdfa9b0bce36346d856
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f16a9325195d25c6bbf8e3b80cfc8599
https://doi.org/10.1080/03610918.2022.2037636
https://doi.org/10.1080/03610918.2022.2037636
Publikováno v:
Canadian Journal of Statistics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::934e79a737915501fbe50a0bb09758f3
https://doi.org/10.1002/cjs.11762
https://doi.org/10.1002/cjs.11762
Autor:
Yuan-chin Ivan Chang, Bo-Shiang Ke
Publikováno v:
Journal of Classification. 38:544-555
To construct a classification rule via an active learning method, during the learning process, users select training subjects sequentially, without knowing their labels, based on the model learned at the current stage. For a parametric-model-based cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31a558383243f7882b8c1dd1f88ff966
https://doi.org/10.1007/s00357-021-09388-3
https://doi.org/10.1007/s00357-021-09388-3
Autor:
Yuan-chin Ivan Chang, Ray-Bing Chen
Publikováno v:
Neurocomputing. 329:495-505
Training data are essential for learning classification models. Therefore, if only a limited number of labeled subjects are available for use as training samples, whereas a considerable amount of unlabeled data already exists, then it is always desir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bc599fdf9bfeb191d616bcd88448a38
https://doi.org/10.1016/j.neucom.2018.11.036
https://doi.org/10.1016/j.neucom.2018.11.036
Autor:
Yuan-chin Ivan Chang, Jim Jinn-Chyuan Sheu, Yi-Han Chiu, Chia-Jung Li, Chung Chang, An-Jen Chiang
Publikováno v:
Cancers
Cancers, Vol 13, Iss 3125, p 3125 (2021)
Volume 13
Issue 13
Cancers, Vol 13, Iss 3125, p 3125 (2021)
Volume 13
Issue 13
Simple Summary Cellular metabolism has become a key determinant of cancer cell and immune cell viability and function. To sustain the enormous anabolic demands, tumors adopt a specialized metabolism different from that of normal cells. Tumor cells sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::494de486ad26efb62b6f8df3db98dcf8
https://pubmed.ncbi.nlm.nih.gov/34206705
https://pubmed.ncbi.nlm.nih.gov/34206705
Publikováno v:
Communications for Statistical Applications and Methods. 25:307-319
High-throughput technologies enable the simultaneous evaluation of thousands of genes that could discriminate different subclasses of complex diseases. Ranking genes according to differential expression is an important screening step for follow-up an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f001c7d05ffe530b31fad10b3bbab4
https://doi.org/10.29220/csam.2018.25.3.307
https://doi.org/10.29220/csam.2018.25.3.307
Autor:
Yuan-chin Ivan Chang
Publikováno v:
Communications in Statistics - Simulation and Computation. 46:7561-7581
We study multiple-class classification problems. Both ordinal and categorical labeled cases are discussed. The common approaches for multiple-class classification are built on binary classifiers, i...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49938d76702c785a5054decf58f207db
https://doi.org/10.1080/03610918.2016.1242732
https://doi.org/10.1080/03610918.2016.1242732
Publikováno v:
BiometricsREFERENCES. 76(2)
Modeling correlated or highly stratified multiple-response data is a common data analysis task in many applications, such as those in large epidemiological studies or multisite cohort studies. The generalized estimating equations method is a popular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82c7ab2ee105665984ac5fdcdf5bbbc
https://pubmed.ncbi.nlm.nih.gov/31598956
https://pubmed.ncbi.nlm.nih.gov/31598956
Autor:
Eunsik Park, Yuan-chin Ivan Chang
Publikováno v:
Statistical Methods in Medical Research. 25:1490-1511
Covariate-adjusted response-adaptive (CARA) design becomes an important statistical tool for evaluating and comparing the performance of treatments when targeted medicine and adaptive therapy become important medical innovations. Due to the nature of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be543d8236137a392d04e4dc24a886b1
https://doi.org/10.1177/0962280213490091
https://doi.org/10.1177/0962280213490091