Y
Yongkang Long
Researcher at King Abdullah University of Science and Technology
Publications - 8
Citations - 156
Yongkang Long is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Polyadenylation & Deep learning. The author has an hindex of 4, co-authored 7 publications receiving 57 citations. Previous affiliations of Yongkang Long include Southern University of Science and Technology.
Papers
More filters
Journal ArticleDOI
A deep learning framework to predict binding preference of RNA constituents on protein surface
Jordy Homing Lam,Jordy Homing Lam,Yu Li,Lizhe Zhu,Lizhe Zhu,Ramzan Umarov,Hanlun Jiang,Amélie Héliou,Fu Kit Sheong,Tianyun Liu,Yongkang Long,Yongkang Long,Yunfei Li,Liang Fang,Russ B. Altman,Wei Chen,Xuhui Huang,Xin Gao +17 more
TL;DR: NucleicNet can serve to provide quantitative fitness of RNA sequences for given binding pockets or to predict potential binding pockets and binding RNAs for previously unknown RNA binding proteins on a diverse set of challenging RNA-binding proteins.
Journal ArticleDOI
Integrative multi-omics analysis of a colon cancer cell line with heterogeneous Wnt activity revealed RUNX2 as an epigenetic regulator of EMT.
Hongyang Yi,Hongyang Yi,Guipeng Li,Yongkang Long,Weizheng Liang,Weizheng Liang,Huanhuan Cui,Bin Zhang,Ying Tan,Yunfei Li,Luochen Shen,Daqi Deng,Yisen Tang,Chenyu Mao,Shuye Tian,Yunting Cai,Qionghua Zhu,Yuhui Hu,Wei Chen,Liang Fang +19 more
TL;DR: RUNX2 is revealed as a new EMT-promoting epigenetic regulator in colon cancer, which may potentially serve as a prognostic marker for tumor metastasis and poor survival of colon cancer patients, as well as patients afflicted with other types of cancer.
Journal ArticleDOI
Recessive, Deleterious Variants in SMG8 Expand the Role of Nonsense-Mediated Decay in Developmental Disorders in Humans.
Fatema Alzahrani,Hiroyuki Kuwahara,Yongkang Long,Mohammed Al-Owain,Mohamed Tohary,Moeenaldeen Al-Sayed,Mohammed Mahnashi,Lana Fathi,Maha Alnemer,Mohamed H Al-Hamed,Gabrielle Lemire,Kym M. Boycott,Mais Hashem,Wenkai Han,Almundher Al-Maawali,Feisal Al Mahrizi,Khalid Al-Thihli,Xin Gao,Fowzan S. Alkuraya +18 more
TL;DR: The data show that SMG8 and SMG9 deficiency results in overlapping developmental disorders that most likely converge mechanistically on impaired NMD, and increased phosphorylation of UPF1, a key SMG1-dependent step in N MD, which most likely represents the loss ofSMG8--mediated inhibition of SMG 1 kinase activity.
Journal ArticleDOI
DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.
Zhongxiao Li,Yisheng Li,Bin Zhang,Yu Li,Yongkang Long,Juexiao Zhou,Xudong Zou,Min Zhang,Yuhui Hu,Wei Chen,Xin Gao +10 more
TL;DR: DeeReCT-APA as discussed by the authors treats the problem as a regression task with a variable-length target and uses bidirectional LSTM to explicitly model the interactions among competing PASs.
Posted ContentDOI
DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning
Zhongxiao Li,Yisheng Li,Bin Zhang,Yu Li,Yongkang Long,Juexiao Zhou,Xudong Zou,Min Zhang,Yuhui Hu,Wei Chen,Xin Gao +10 more
TL;DR: A deep learning architecture to quantitatively predict the usage of all alternative PAS of a given gene, DeeReCT-APA, which consistently outperforms other existing methods on three different tasks for which they are trained: pairwise comparison task, highest usage prediction task and ranking task.