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Ye-In Chang

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Articles 7
Citations 29
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Recent Articles
1.
Hung Y, Chen Y, Tsai T, Chang Y, Chuang P
Am J Trop Med Hyg . 2023 Dec; 110(2):295-302. PMID: 38109772
Snakebite envenomation is a neglected tropical disease. Taiwan, with its subtropical and Southeast Asian environment, provides suitable habitat for several venomous snake species. Trimeresurus stejnegeri, an arboreal pit viper, is...
2.
Lan C, Chen Y, Chang Y, Chuang P
Vaccines (Basel) . 2023 May; 11(5). PMID: 37243090
During the coronavirus disease 2019 (COVID-19) pandemic, global vaccination efforts declined due to the burden on health systems and community resistance to epidemic control measures. Influenza and pneumococcal vaccines have...
3.
Chi Y, Pan H, Cheng F, Chang Y, Chuang P
Am J Emerg Med . 2022 May; 58:73-78. PMID: 35636046
Background: Carbon monoxide poisoning (COP), resulting from accidental and intentional exposure, is a leading cause of fatal poisoning worldwide. Except for early death, neurological sequelae are common and impose a...
4.
Li C, Chien C, Chuang Y, Chang Y, Tang H, Kang C
Int Urol Nephrol . 2016 Mar; 48(6):993-9. PMID: 26995008
Purpose: To evaluate the impact of chronic kidney disease (CKD) on oncologic outcomes among non-muscle-invasive bladder cancer (NMIBC) patients who underwent transurethral resection of bladder cancer. Methods: We followed up...
5.
Chen J, Chang Y
J Comput Biol . 2011 Jan; 18(12):1777-91. PMID: 21210736
Biclustering, which performs simultaneous clustering of rows (e.g., genes) and columns (e.g., conditions), has been shown to be important for analyzing microarray data. To find biclusters, there have been many...
6.
Chang Y, Chen J, Tsai Y
J Comput Biol . 2009 May; 16(5):745-68. PMID: 19432542
Mining subspace clusters from the DNA microarrays could help researchers identify those genes which commonly contribute to a disease, where a subspace cluster indicates a subset of genes whose expression...
7.
Chen J, Chang Y
Biosystems . 2009 Apr; 97(1):44-59. PMID: 19393714
Biclustering, which performs simultaneous clustering of rows (e.g., genes) and columns (e.g., conditions), has proved of great value for finding interesting patterns from microarray data. To find biclusters, a model...