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Li, Tai-Fang
431
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1
Personalized genome assembly for accurate cancer somatic mu..:
Chunlin Xiao
;
Zhong Chen
;
Wanqiu Chen
...
https://doi.org/10.1186/s13059-022-02803-x. , 2022
Link:
https://doi.org/10.1186/..
?
2
An improved slope-based adaptive control vector parameteriz..:
Tai-Fang Li
;
Lanqing Dang
;
Lihou Cai
http://www.sciencedirect.com/science/article/pii/S111001682300995X. , 2024
Link:
https://doi.org/10.1016/..
?
3
Methods for the purification and detection of single nucleo..:
Lasse Bøllehuus Hansen
;
Sandra Fugl Jakobsen
;
Egija Zole
...
https://doi.org/10.1002/cam4.6385. , 2023
Link:
https://doi.org/10.1002/..
?
4
Achieving robust somatic mutation detection with deep learn..:
Sayed Mohammad Ebrahim Sahraeian
;
Li Tai Fang
;
Konstantinos Karagiannis
...
https://doi.org/10.1186/s13059-021-02592-9. , 2022
Link:
https://doi.org/10.1186/..
?
5
State Estimation for Standard Neural Network Models with Ti..:
Jin Zhu
;
Tai-Fang Li
;
Huanqing Wang
http://dx.doi.org/10.1155/2022/4618101. , 2022
Link:
https://doi.org/10.1155/..
?
6
Structural variant analysis of a cancer reference cell line..:
Keyur Talsania
;
Tsai-wei Shen
;
Xiongfong Chen
...
https://doi.org/10.1186/s13059-022-02816-6. , 2022
Link:
https://doi.org/10.1186/..
?
7
Achieving robust somatic mutation detection with deep learn..:
Sahraeian, SME
;
Li Tai Fang
;
Konstantinos Karagiannis
...
doi:10.5281/zenodo.5801422. , 2021
Link:
https://zenodo.org/recor..
?
8
Whole genome and exome sequencing reference datasets from a..:
Yongmei Zhao
;
Li Tai Fang
;
Tsai-wei Shen
...
https://doi.org/10.1038/s41597-021-01077-5. , 2021
Link:
https://doi.org/10.1038/..
?
9
Asynchronous Switching Control for Switched Delay Systems I..:
Tai-Fang Li
;
Huanqing Wang
https://ieeexplore.ieee.org/document/8115144/. , 2018
Link:
https://doi.org/10.1109/..
?
10
Systematic comparison of two whole-genome amplification met..:
Pedro Mendez
;
Li Tai Fang
;
David M. Jablons
.
https://doi.org/10.1038/s41598-017-04419-9. , 2017
Link:
https://doi.org/10.1038/..
?
11
Gremlin is overexpressed in lung adenocarcinoma and increas..:
Michael S Mulvihill
;
Yong-Won Kwon
;
Sharon Lee
...
https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22870311/?tool=EBI. , 2012
Link:
https://doi.org/10.1371/..
?
12
Additional file 2 of Achieving robust somatic mutation dete..:
Sayed Mohammad Ebrahim Sahraeian (11861373)
;
Li Tai Fang (11920966)
;
Konstantinos Karagiannis (191147)
...
https://figshare.com/articles/journal_contribution/Additional_file_2_of_Achieving_robust_somatic_mutation_detection_with_deep_learning_models_derived_from_reference_data_sets_of_a_cancer_sample/18070846. , 2022
Link:
https://doi.org/10.6084/..
?
13
Additional file 1 of Achieving robust somatic mutation dete..:
Sayed Mohammad Ebrahim Sahraeian (11861373)
;
Li Tai Fang (11920966)
;
Konstantinos Karagiannis (191147)
...
https://figshare.com/articles/journal_contribution/Additional_file_1_of_Achieving_robust_somatic_mutation_detection_with_deep_learning_models_derived_from_reference_data_sets_of_a_cancer_sample/18070843. , 2022
Link:
https://doi.org/10.6084/..
?
14
Personalized genome assembly for accurate cancer somatic mu..:
Xiao, Chunlin
;
Chen, Zhong
;
Chen, Wanqiu
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648002/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
15
Additional file 3 of Achieving robust somatic mutation dete..:
Sayed Mohammad Ebrahim Sahraeian (11861373)
;
Li Tai Fang (11920966)
;
Konstantinos Karagiannis (191147)
...
https://figshare.com/articles/journal_contribution/Additional_file_3_of_Achieving_robust_somatic_mutation_detection_with_deep_learning_models_derived_from_reference_data_sets_of_a_cancer_sample/18070849. , 2022
Link:
https://doi.org/10.6084/..
1-15