Indicator element selection and geochemical anomaly mapping using recursive feature elimination and random forest methods in the Jingdezhen region of Jiangxi Province, South China

Nitrotyrosine, which is generated by numerous reactive nitrogen species, is a type of protein post-translational modification. Identification of site-specific nitration modification on tyrosine is a prerequisite to understanding the molecular function of nitrated proteins. Thanks to the progress of machine learning, computational prediction can play a vital role before the biological experimentation. Herein, we developed a computational predictor PredNTS by integrating multiple sequence features including K-mer, composition of k-spaced amino acid pairs (CKSAAP), AAindex, and binary encoding schemes. The important features were selected by the recursive feature elimination approach using a random forest classifier. Finally, we linearly combined the successive random forest (RF) probability scores generated by the different, single encoding-employing RF models. The resultant PredNTS predictor achieved an area under a curve (AUC) of 0.910 using five-fold cross validation. It outperformed the existing predictors on a comprehensive and independent dataset. Furthermore, we investigated several machine learning algorithms to demonstrate the superiority of the employed RF algorithm. The PredNTS is a useful computational resource for the prediction of nitrotyrosine sites. The web-application with the curated datasets of the PredNTS is publicly available.

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Five new Lathys species (Araneae: Dictynidae) from South China and the first description of the male of Lathys spiralis Zhang, Hu & Zhang, 2012

Zootaxa ◽

10.11646/zootaxa.4500.2.1 ◽

2018 ◽

Vol 4500 (2) ◽

pp. 151

Author(s):

KEKE LIU ◽

ZEYUAN MENG ◽

YONGHONG XIAO ◽

XIANG XU

Keyword(s):

New Species ◽

South China ◽

Life Science ◽

Nature Reserve ◽

Jiangxi Province ◽

Line Drawings ◽

The Past ◽

Animal Specimen ◽

Science College ◽

First Time

Dictynidae spiders were collected from Jinggang Mountain National Nature Reserve, Jiangxi Province, China in the past four years. Five new species are described and illustrated with photographs, SEMs and line drawings: Lathys adunca Liu spec. nov. (male), L. deltoidea Liu spec. nov. (female), L. fibulata Liu spec. nov. (female), L. huangyangjieensis Liu spec. nov. (male, female) and L. zhanfengi Liu spec. nov. (female). Both sexes of the species L. spiralis Zhang, Hu & Zhang, 2012 were collected from leaf litter in Jinggangshan University and the male is described for the first time. All specimens are deposited in the Animal Specimen Museum, Life Science College, at the Jinggangshan University (ASM-JGSU).

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Comparison of Magma Oxygen Fugacity and Zircon Hf Isotopes between Xianglushan Tungsten-Bearing Granite and Late Yanshanian Granites in Jiangxi Province, South China

Minerals ◽

10.3390/min10020106 ◽

2020 ◽

Vol 10 (2) ◽

pp. 106

Author(s):

Xing-Yuan Li ◽

Jing-Ru Zhang ◽

Chun-Kit Lai

Keyword(s):

Oxygen Fugacity ◽

South China ◽

Granitic Magma ◽

Geochemical Data ◽

Jiangxi Province ◽

Magmatic Zircon ◽

Late Mesozoic ◽

Icp Ms ◽

T Values ◽

Southern Jiangxi Province

Jiangxi Province (South China) is one of the world’s top tungsten (W) mineral provinces. In this paper, we present a new LA-ICP-MS zircon U-Pb age and Hf isotope data on the W ore-related Xianglushan granite in northern Jiangxi Province. The magmatic zircon grains (with high Th/U values) yielded an early Cretaceous weighted mean U-Pb age of 125 ± 1 Ma (MSWD = 2.5, 2σ). Zircon εHf(t) values of the Xianglushan granite are higher (−6.9 to −4.1, avg. −5.4 ± 0.7) than those of the W ore-related Xihuanshan granite in southern Jiangxi Province (−14.9 to −11.2, avg. −12.5 ± 0.9), implying different sources between the W ore-forming magmas in the northern and southern Jiangxi Province. Compiling published zircon geochemical data, the oxygen fugacity (fO2) of the late Yanshanian granitic magmas in Jiangxi Province (the Xianglushan, Ehu, Dahutang, and Xihuashan plutons) were calculated by different interpolation methods. As opposed to the W ore-barren Ehu granitic magma, the low fO2 of the Xianglushan granitic magma may have caused W enrichment and mineralization, whilst high fO2 may have led to the coexistence of Cu and W mineralization in the Dahutang pluton. Additionally, our study suggests that the absence of late Mesozoic Cu-Mo mineralization in the Zhejiang, Jiangxi, and Anhui Provinces (Zhe-Gan-Wan region) was probably related to low fO2 magmatism in the Cretaceous.

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Hepatitis Detection using Random Forest based on SVM-RFE (Recursive Feature Elimination) Feature Selection and SMOTE

10.1145/3479645.3479668 ◽

2021 ◽

Author(s):

Rifky Yunus Krisnabayu ◽

Achmad Ridok ◽

Agung Setia Budi

Keyword(s):

Feature Selection ◽

Random Forest ◽

Recursive Feature Elimination

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Intrusion Detection System with Recursive Feature Elimination by Using Random Forest and Deep Learning Classifier

2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT) ◽

10.1109/ibigdelft.2018.8625318 ◽

2018 ◽

Cited By ~ 15

Author(s):

Serpil Ustebay ◽

Zeynep Turgut ◽

Muhammed Ali Aydin

Keyword(s):

Deep Learning ◽

Random Forest ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Recursive Feature Elimination ◽

Learning Classifier

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Genetic Diversity and Population Genetic Structure of Cinnamomum camphora in South China Revealed by EST-SSR Markers

Forests ◽

10.3390/f10111019 ◽

2019 ◽

Vol 10 (11) ◽

pp. 1019 ◽

Cited By ~ 1

Author(s):

Zhong ◽

Yang ◽

Li ◽

Zhang ◽

Liu ◽

...

Keyword(s):

Genetic Diversity ◽

Ssr Markers ◽

South China ◽

Expressed Sequence Tag ◽

Gene Diversity ◽

Jiangxi Province ◽

Group Method ◽

Cinnamomum Camphora ◽

Wild Populations ◽

Arithmetic Means

Cinnamomum camphora is a valuable broad-leaf tree indigenous to South China and East Asia and has been widely cultivated and utilized by humans since ancient times. However, owing to its overutilization for essential oil extraction, the Transplanting Big Trees into Cities Program, and over deforestation to make furniture, its wild populations have been detrimentally affected and are declining rapidly. In the present study, the genetic diversity and population structure of 180 trees sampled from 41 populations in South China were investigated with 22 expressed sequence tag-simple sequence repeat (EST-SSR) markers. In total, 61 alleles were harbored across 180 individuals, and medium genetic diversity level was inferred from the observed heterozygosity (Ho), expected heterozygosity (He), and Nei’ gene diversity (GD), which were 0.45, 0.44, and 0.44, respectively. Among the 41 wild populations, C. camphora had an average of 44 alleles, 2.02 effective alleles, and He ranging from 0.30 (SC) to 0.61 (HK). Analysis of molecular variance (AMOVA) showed that 17% of the variation among populations and the average pairwise genetic differentiation coefficient (FST) between populations was 0.162, indicating relatively low genetic population differentiations. Structure analysis suggested two groups for the 180 individuals, which was consistent with the principal coordinate analysis (PCoA) and unweighted pair-group method with arithmetic means (UPGMA). Populations grouped to cluster I were nearly all distributed in Jiangxi Province (except population XS in Zhejiang Province), and cluster II mainly comprised populations from other regions, indicating a significant geographical distribution. Moreover, the Mantel test showed that this geographical distance was significantly correlated with genetic distance. The findings of this research will assist in future C. camphora conservation management and breeding programs.

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