User profiles for Chenfei Ma
 | Chenfei MaSchool of Informatics, the University of Edinburgh Verified email at ed.ac.uk Cited by 234 |
Untargeted and targeted metabolomics strategy for the classification of strong aroma-type baijiu (liquor) according to geographical origin using comprehensive two …
X Song, S Jing, L Zhu, C Ma, T Song, J Wu, Q Zhao… - Food Chemistry, 2020 - Elsevier
A metabolomics strategy was developed to differentiate strong aroma-type baijiu (SAB) (distilled
liquor) from the Sichuan basin (SCB) and Yangtze-Huaihe River Basin (YHRB) through …
liquor) from the Sichuan basin (SCB) and Yangtze-Huaihe River Basin (YHRB) through …
Metabolic profiling of transgenic rice with cryIAc and sck genes: An evaluation of unintended effects at metabolic level by using GC-FID and GC–MS
J Zhou, C Ma, H Xu, K Yuan, X Lu, Z Zhu, Y Wu… - … of Chromatography B, 2009 - Elsevier
The cryIAc and sck genes were introduced to the rice for the purpose of improving the insect
resistance. Metabolic profiles of wild and transgenic rice were compared to assess the …
resistance. Metabolic profiles of wild and transgenic rice were compared to assess the …
Genetic, proteomic and metabolic analysis of the regulation of energy storage in rice seedlings in response to drought
L Shu, Q Lou, C Ma, W Ding, J Zhou, J Wu, F Feng… - …, 2011 - Wiley Online Library
We used proteomic analysis to determine the response of rice plant seedlings to drought‐induced
stress. The expression of 71 protein spots was significantly altered, and 60 spots were …
stress. The expression of 71 protein spots was significantly altered, and 60 spots were …
Analysis of Artemisia annua L. volatile oil by comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry
C Ma, H Wang, X Lu, H Li, B Liu, G Xu - Journal of Chromatography A, 2007 - Elsevier
Artemisia annua L. is an annual herb native of Asia, it has been used for many centuries for
the treatment of fever and malaria. In this paper, analysis of the volatile oil of Artemisia annua …
the treatment of fever and malaria. In this paper, analysis of the volatile oil of Artemisia annua …
Continuous estimation of upper limb joint angle from sEMG signals based on SCA-LSTM deep learning approach
… Chenfei ma designed the SCA-LSTM algorithm, wrote the code, finished most part of the …
Chuang Lin and Chenfei ma finished the “detailed response to reviewers” together, Chuang …
Chuang Lin and Chenfei ma finished the “detailed response to reviewers” together, Chuang …
Effects of exogenous methyl jasmonate on artemisinin biosynthesis and secondary metabolites in Artemisia annua L.
H Wang, C Ma, Z Li, L Ma, H Wang, H Ye, G Xu… - Industrial Crops and …, 2010 - Elsevier
Artemisin is a sesquiterpene lactone with an endoperoxide bridge first isolated from the aerial
parts of Artemisia annua L. (Compositae). It is an important antimalarial component, but as …
parts of Artemisia annua L. (Compositae). It is an important antimalarial component, but as …
Metabolic fingerprinting investigation of Artemisia annua L. in different stages of development by gas chromatography and gas chromatography–mass spectrometry
C Ma, H Wang, X Lu, G Xu, B Liu - Journal of Chromatography A, 2008 - Elsevier
Artemisia annua L. is an annual herb native of Asia and this plant has been famous for the
discovery of the anti-malarial drug artemisinin since 1971. In this work, to investigate variety of …
discovery of the anti-malarial drug artemisinin since 1971. In this work, to investigate variety of …
Exploiting spatio-temporal representation for 3D human action recognition from depth map sequences
Human action recognition based on 3D data is attracting increasing attention because it could
provide more abundant spatial and temporal information compared with RGB videos. The …
provide more abundant spatial and temporal information compared with RGB videos. The …
A bi-directional LSTM network for estimating continuous upper limb movement from surface electromyography
In human-machine interaction systems, continuous movement estimation methods occupy
an important position because they are more natural and intuitive than pattern-recognition …
an important position because they are more natural and intuitive than pattern-recognition …
Long exposure convolutional memory network for accurate estimation of finger kinematics from surface electromyographic signals
Objective. Estimation of finger kinematics is an important function of an intuitive human–machine
interface, such as gesture recognition. Here, we propose a novel deep learning method…
interface, such as gesture recognition. Here, we propose a novel deep learning method…