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shuangsang fang
shuangsang fang
北京华大生命科学研究院
在 genomics.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis
D Bu, H Luo, P Huo, Z Wang, S Zhang, Z He, Y Wu, L Zhao, J Liu, J Guo, ...
Nucleic acids research 49 (W1), W317-W325, 2021
11422021
NONCODE 2016: an informative and valuable data source of long non-coding RNAs
Y Zhao, H Li, S Fang, Y Kang, W Wu, Y Hao, Z Li, D Bu, N Sun, MQ Zhang, ...
Nucleic acids research 44 (D1), D203-D208, 2016
6402016
NONCODEV5: a comprehensive annotation database for long non-coding RNAs
SS Fang, LL Zhang, JC Guo, YW Niu, Y Wu, H Li, LH Zhao, XY Li, ...
Nucleic acids research 46 (D1), D308-D314, 2018
5072018
SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping
Y Wu, F Zhang, K Yang, S Fang, D Bu, H Li, L Sun, H Hu, K Gao, W Wang, ...
Nucleic acids research 47 (D1), D1110-D1117, 2019
4102019
HERB: a high-throughput experiment-and reference-guided database of traditional Chinese medicine
SS Fang, L Dong, L Liu, JC Guo, LH Zhao, JY Zhang, DC Bu, XK Liu, ...
Nucleic acids research 49 (D1), D1197-D1206, 2021
4052021
NONCODEV6: an updated database dedicated to long non-coding RNA annotation in both animals and plants
L Zhao, J Wang, Y Li, T Song, Y Wu, S Fang, D Bu, H Li, L Sun, D Pei, ...
Nucleic acids research 49 (D1), D165-D171, 2021
2312021
CNIT: a fast and accurate web tool for identifying protein-coding and long non-coding transcripts based on intrinsic sequence composition
JC Guo, SS Fang, Y Wu, JH Zhang, Y Chen, J Liu, B Wu, JR Wu, EM Li, ...
Nucleic acids research 47 (W1), W516-W522, 2019
1402019
Computational approaches and challenges in spatial transcriptomics
S Fang, B Chen, Y Zhang, H Sun, L Liu, S Liu, Y Li, X Xu
Genomics, Proteomics & Bioinformatics 21 (1), 24-47, 2023
662023
Evolutionary annotation of conserved long non-coding RNAs in major mammalian species
DC Bu, HT Luo, F Jiao, SS Fang, CF Tan, ZY Liu, Y Zhao
Science China Life Sciences 58, 787-798, 2015
362015
Identification and function annotation of long intervening noncoding RNAs
H Luo, D Bu, L Sun, S Fang, Z Liu, Y Zhao
Briefings in Bioinformatics 18 (5), 789-797, 2017
342017
A P53‐related microRNA model for predicting the prognosis of hepatocellular carcinoma patients
SS Fang, JC Guo, JH Zhang, JN Liu, S Hong, B Yu, Y Gao, SP Hu, HZ Liu, ...
Journal of Cellular Physiology 235 (4), 3569-3578, 2020
272020
TcoFBase: a comprehensive database for decoding the regulatory transcription co-factors in human and mouse
Y Zhang, C Song, Y Zhang, Y Wang, C Feng, J Chen, L Wei, Q Pan, ...
Nucleic Acids Research 50 (D1), D391-D401, 2022
222022
The long non-coding RNA NONHSAG026900 predicts prognosis as a favorable biomarker in patients with diffuse large B-cell lymphoma
S Zhao, S Fang, Y Liu, X Li, S Liao, J Chen, J Liu, L Zhao, H Li, W Zhou, ...
Oncotarget 8 (21), 34374, 2017
192017
Prognostic value of an autophagy-related five-gene signature for lower-grade glioma patients
JC Guo, QS Wei, L Dong, SS Fang, F Li, Y Zhao
Frontiers in Oncology 11, 644443, 2021
162021
VarBen: generating in silico reference data sets for clinical next-generation sequencing bioinformatics pipeline evaluation
Z Li, S Fang, R Zhang, L Yu, J Zhang, D Bu, L Sun, Y Zhao, J Li
The Journal of Molecular Diagnostics 23 (3), 285-299, 2021
92021
SAW: An efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics
C Gong, S Li, L Wang, F Zhao, S Fang, D Yuan, Z Zhao, Q He, M Li, W Liu, ...
GigaByte 2024, 2024
82024
Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics
S Fang, M Xu, L Cao, X Liu, M Bezulj, L Tan, Z Yuan, Y Li, T Xia, L Guo, ...
bioRxiv, 2023.12. 04.569485, 2023
82023
CellBin: a highly accurate single-cell gene expression processing pipeline for high-resolution spatial transcriptomics
M Li, H Liu, Q Kang, S Fang, M Li, J Zhang, F Teng, D Wang, W Cen, Z Li, ...
Biorxiv, 2023.02. 28.530414, 2023
72023
Comprehensive characterization of the RNA editomes in cancer development and progression
H Luo, S Fang, L Sun, Z Liu, Y Zhao
Frontiers in Genetics 8, 230, 2018
52018
spatiAlign: an unsupervised contrastive learning model for data integration of spatially resolved transcriptomics
C Zhang, L Liu, Y Zhang, M Li, S Fang, Q Kang, A Chen, X Xu, Y Zhang, ...
GigaScience 13, giae042, 2024
42024
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