Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Taejin Ahn"'
Autor:
Se Ik Kim, Sangick Park, Eunyong Ahn, Jeunhui Kim, HyunA Jo, Juwon Lee, Untack Cho, Maria Lee, Cheol Lee, Danny N. Dhanasekaran, Taejin Ahn, Yong Sang Song
Publikováno v:
Clinical and Translational Medicine, Vol 14, Iss 9, Pp n/a-n/a (2024)
Externí odkaz:
https://doaj.org/article/bf77184b3a2644eb808f39c83c96039f
Autor:
Kidong Kim, Sarah Kim, TaeJin Ahn, Hyojin Kim, So-Jin Shin, Chel Hun Choi, Sungmin Park, Yong-Beom Kim, Jae Hong No, Dong Hoon Suh
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background The objective of this study was to estimate the accuracy of transcriptome-based classifier in differential diagnosis of uterine leiomyoma and leiomyosarcoma. We manually selected 114 normal uterine tissue and 31 leiomyosarcoma sam
Externí odkaz:
https://doaj.org/article/264bc8fb2b3442588aaa2258b66e3cfb
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S105- (2023)
Externí odkaz:
https://doaj.org/article/2a9a969b1f2c44d6a3724a30c46cfe83
Autor:
Yujeong Kim, Se Jin Jeon, Edson Luck Gonzales, Dongpil Shin, Chilly Gay Remonde, TaeJin Ahn, Chan Young Shin
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Fragile X syndrome (FXS) is a neurodevelopmental disorder that is caused by the loss of Fragile X-linked mental retardation protein (FMRP), an RNA binding protein that can bind and recognize different RNA structures and regulate the target m
Externí odkaz:
https://doaj.org/article/edcf42ab03b441d7bf4c4a5217a9b232
Publikováno v:
Cancer Informatics, Vol 21 (2022)
Purpose: There is a lack of tools for identifying the site of origin in mucinous cancer. This study aimed to evaluate the performance of a transcriptome-based classifier for identifying the site of origin in mucinous cancer. Materials And Methods: Tr
Externí odkaz:
https://doaj.org/article/12687f2cd1fd4788913db132956d84c0
Publikováno v:
International Journal of Molecular Sciences, Vol 22, Iss 21, p 11531 (2021)
Deep learning has proven advantageous in solving cancer diagnostic or classification problems. However, it cannot explain the rationale behind human decisions. Biological pathway databases provide well-studied relationships between genes and their pa
Externí odkaz:
https://doaj.org/article/846e8cf8b2b7477e856018cc3446d7fe
Publikováno v:
Genomics & Informatics, Vol 16, Iss 4 (2018)
There is urgent need for effective and cost-efficient data storage, as the worldwide requirement for data storage is rapidly growing. DNA has introduced a new tool for storing digital information. Recent studies have successfully stored digital infor
Externí odkaz:
https://doaj.org/article/a999822044ed4352a09665475b82fb22
Publikováno v:
Genomics & Informatics, Vol 16, Iss 4 (2018)
Ovarian cancer is one of the leading causes of cancer-related deaths in gynecological malignancies. Over 70% of ovarian cancer cases are high-grade serous ovarian cancers and have high death rates due to their resistance to chemotherapy. Despite adva
Externí odkaz:
https://doaj.org/article/f028a3603888436cbc29f7ecefd90bec
Publikováno v:
Biomolecules & Therapeutics. 31:116-126
Autor:
Seung Joon Park, Hee Chan Yoo, Eunyong Ahn, Enzhi Luo, Yeabeen Kim, Yulseung Sung, Ya Chun Yu, Kibum Kim, Do Sik Min, Hee Seung Lee, Geum-Sook Hwang, TaeJin Ahn, Junjeong Choi, Seungmin Bang, Jung Min Han
Publikováno v:
Cancer research.
Pancreatic ductal adenocarcinoma (PDAC) exhibits severe hypoxia, which is associated with chemoresistance and worse patient outcome. It has been reported that hypoxia induces metabolic reprogramming in cancer cells. However, it is not well known whet