TY - JOUR
T1 - Corrigendum to Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis [Medical Image Analysis 70 (2021) 1–12/102003](S1361841521000499)(10.1016/j.media.2021.102003)
AU - Du, Lei
AU - Zhang, Jin
AU - Liu, Fang
AU - Wang, Huiai
AU - Guo, Lei
AU - Han, Junwei
N1 - Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/8
Y1 - 2021/8
N2 - Sorry to bother you. I am writing to ask for a Corrigendum regarding our recently accepted paper (Reference No. MEDIMA 102003. Title: Identifying Associations among Genomic, Proteomic and Imaging Biomarkers via Adaptive Sparse Multi-view Canonical Correlation Analysis). I find that we have missed one funding acknowledgments (National key R&D Program of China [2017YFB1002201]) in the ACKNOWLEDGEMENTS section, which is very important to me. So, may I ask that could you please do me a favour to add this funding information? For your convenience, I have copied the full contents listed below, and if possible, you could just replace the second paragraph of the ACKNOWLEDGEMENTS section by this new content below. The text with the yellow background is the newly added text. The authors acknowledge that This work was supported in part by the National Key R&D Program of China [2017YFB1002201]; National Natural Science Foundation of China [61973255, 61936007, 61602384]; Natural Science Basic Research Program of Shaanxi [2020JM-142]; the China Postdoctoral Science Foundation [2020T130537] at Northwestern Polytechnical University. The authors would like to apologise for any inconvenience caused.
AB - Sorry to bother you. I am writing to ask for a Corrigendum regarding our recently accepted paper (Reference No. MEDIMA 102003. Title: Identifying Associations among Genomic, Proteomic and Imaging Biomarkers via Adaptive Sparse Multi-view Canonical Correlation Analysis). I find that we have missed one funding acknowledgments (National key R&D Program of China [2017YFB1002201]) in the ACKNOWLEDGEMENTS section, which is very important to me. So, may I ask that could you please do me a favour to add this funding information? For your convenience, I have copied the full contents listed below, and if possible, you could just replace the second paragraph of the ACKNOWLEDGEMENTS section by this new content below. The text with the yellow background is the newly added text. The authors acknowledge that This work was supported in part by the National Key R&D Program of China [2017YFB1002201]; National Natural Science Foundation of China [61973255, 61936007, 61602384]; Natural Science Basic Research Program of Shaanxi [2020JM-142]; the China Postdoctoral Science Foundation [2020T130537] at Northwestern Polytechnical University. The authors would like to apologise for any inconvenience caused.
UR - http://www.scopus.com/inward/record.url?scp=85106226315&partnerID=8YFLogxK
U2 - 10.1016/j.media.2021.102081
DO - 10.1016/j.media.2021.102081
M3 - 评论/辩论
C2 - 34010731
AN - SCOPUS:85106226315
SN - 1361-8415
VL - 72
JO - Medical Image Analysis
JF - Medical Image Analysis
M1 - 102081
ER -