Search Results - "Su, Mingming"
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Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data
Published in Scientific reports (12-01-2018)“…Missing values exist widely in mass-spectrometry (MS) based metabolomics data. Various methods have been applied for handling missing values, but the selection…”
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2
Effect of structure design on compressive properties and energy absorption behavior of ordered porous aluminum prepared by rapid casting
Published in Materials & design (05-04-2019)“…In this study, ordered porous aluminum specimens with four different cubic structures, i.e. basic truss structure, high density truss structure, strengthened…”
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3
Dysregulated hepatic bile acids collaboratively promote liver carcinogenesis
Published in International journal of cancer (15-10-2016)“…Dysregulated bile acids (BAs) are closely associated with liver diseases and attributed to altered gut microbiota. Here, we show that the intrahepatic…”
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4
A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images
Published in Scientific reports (29-01-2019)“…Supervised learning methods are commonly applied in medical image analysis. However, the success of these approaches is highly dependent on the availability of…”
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5
Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction
Published in Genetic programming and evolvable machines (01-12-2024)“…Air pollution prediction is a process of predicting the levels of air pollutants in a specific area over a given period. Since LSTM (Long Short-Term Memory)…”
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6
Architecture search of accurate and lightweight CNNs using genetic algorithm
Published in Genetic programming and evolvable machines (01-06-2024)“…Convolutional neural networks (CNNs) are popularly-used in various AI fields, yet the design of CNN architectures heavily depends on domain expertise…”
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7
Salivary metabolite signatures of oral cancer and leukoplakia
Published in International journal of cancer (01-11-2011)“…Oral cancer, one of the six most common human cancers with an overall 5‐year survival rate of <50%, is often not diagnosed until it has reached an advanced…”
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Germline BAP1 mutations induce a Warburg effect
Published in Cell death and differentiation (01-10-2017)“…Carriers of heterozygous germline BAP1 mutations ( BAP1 +/− ) develop cancer. We studied plasma from 16 BAP1 +/− individuals from 2 families carrying different…”
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Species Differences of Bile Acid Redox Metabolism: Tertiary Oxidation of Deoxycholate is Conserved in Preclinical Animals
Published in Drug metabolism and disposition (01-06-2020)“…It was recently disclosed that CYP3A is responsible for the tertiary stereoselective oxidations of deoxycholic acid (DCA), which becomes a continuum mechanism…”
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Serum Metabolite Profiling of Human Colorectal Cancer Using GC−TOFMS and UPLC−QTOFMS
Published in Journal of proteome research (01-10-2009)“…Colorectal carcinogenesis involves the overexpression of many immediate-early response genes associated with growth and inflammation, which significantly…”
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11
Symbiotic gut microbes modulate human metabolic phenotypes
Published in Proceedings of the National Academy of Sciences - PNAS (12-02-2008)“…Humans have evolved intimate symbiotic relationships with a consortium of gut microbes (microbiome) and individual variations in the microbiome influence host…”
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A novel adaptive actuator failure compensation scheme based on multi-design integration for half-car active suspension system
Published in Advances in mechanical engineering (01-12-2019)“…A new actuator failure compensation scheme in the presence of actuator failures with multi-uncertainties is proposed for half-car active suspension systems…”
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13
Single-cell transcriptome analysis identifies a unique tumor cell type producing multiple hormones in ectopic ACTH and CRH secreting pheochromocytoma
Published in eLife (14-12-2021)“…Ectopic Cushing's syndrome due to ectopic ACTH&CRH-secreting by pheochromocytoma is extremely rare and can be fatal if not properly diagnosed. It remains…”
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14
A targeted metabolomic protocol for short-chain fatty acids and branched-chain amino acids
Published in Metabolomics (01-08-2013)“…Research in obesity and metabolic disorders that involve intestinal microbiota demands reliable methods for the precise measurement of the short-chain fatty…”
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15
Alterations of gut microbiome accelerate multiple myeloma progression by increasing the relative abundances of nitrogen-recycling bacteria
Published in Microbiome (28-05-2020)“…Gut microbiome alterations are closely related to human health and linked to a variety of diseases. Although great efforts have been made to understand the…”
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Key Role for the 12-Hydroxy Group in the Negative Ion Fragmentation of Unconjugated C24 Bile Acids
Published in Analytical chemistry (Washington) (19-07-2016)“…Host-gut microbial interactions contribute to human health and disease states and an important manifestation resulting from this cometabolism is a vast…”
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17
Urinary Metabonomic Study on Colorectal Cancer
Published in Journal of proteome research (05-03-2010)“…After our serum metabonomic study of colorectal cancer (CRC) patients recently published in J. Proteome Res., we profiled urine metabolites from the same group…”
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18
Mass spectrometry-based quantitative metabolomics revealed a distinct lipid profile in breast cancer patients
Published in International journal of molecular sciences (12-04-2013)“…Breast cancer accounts for the largest number of newly diagnosed cases in female cancer patients. Although mammography is a powerful screening tool, about 20%…”
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19
Metabonomic Variations in the Drug-Treated Type 2 Diabetes Mellitus Patients and Healthy Volunteers
Published in Journal of proteome research (03-04-2009)“…The pathological development and the drug intervention of type 2 diabetes mellitus (T2DM) involve altered expression of downstream low molecular weight…”
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RiSSNet: Contrastive Learning Network with a Relaxed Identity Sampling Strategy for Remote Sensing Image Semantic Segmentation
Published in Remote sensing (Basel, Switzerland) (01-07-2023)“…Contrastive learning techniques make it possible to pretrain a general model in a self-supervised paradigm using a large number of unlabeled remote sensing…”
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