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Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED) 1

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Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions Review

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1451-1478 doi: 10.1631/FITEE.2100569

Abstract: A case study is provided to demonstrate the process of implementation, in which three microarray cancer

Keywords： Feature selection     High dimensionality     Learning techniques     Microarray dataset    

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Characterization of the genes involved in nitrogen cycling in wastewater treatment plants using DNA microarray

Junqin PANG, Masami MATSUDA, Masashi KURODA, Daisuke INOUE, Kazunari SEI, Kei NISHIDA, Michihiko IKE

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 4, doi: 10.1007/s11783-016-0846-x

Abstract: Diversity of whole nitrogen-cycling communities was analyzed with DNA microarray.employing two molecular-based methods:most probable number-polymerase chain reaction (MPN-PCR) and DNA microarrayDNA microarray analysis revealed that several kinds of nitrification and denitrification genes were detected

Keywords： DNA microarray analysis     Nitrogen cycling functional genes     Most probable number-polymerase chain reaction    

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A microarray study of altered gene expression during melanoblasts migration in normal pigmented White

Yulin LI,Deping HAN,Junying LI,Dawn KOLTES,Xuemei DENG

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 4,   Pages 299-306 doi: 10.15302/J-FASE-2014040

Abstract: In this study, we used microarray profiling to identify differences in gene expression between WhiteDifferential expression of 2517 microarray probes ( <0.01, Fold Change>2) was observed in Silky Fowlassociated with melanocyte development were verified by q-PCR, and results were highly consistent with the microarray

Keywords： Silky Fowl     White Leghorn     melanoblast migration     gene expression    

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Data mining of microarray for differentially expressed genes in liver metastasis from gastric cancer

Ling XU MM, Feng WANG MM, Xuan-Fu XU MD, Wen-Hui MO BM, Rong WAN MD, Chuan-Yong GUO MD, Xing-Peng WANG MD,

Frontiers of Medicine 2010, Volume 4, Issue 2,   Pages 247-253 doi: 10.1007/s11684-010-0027-4

Abstract: of high-invasive gastric cancer, samples of gastric cancer with liver metastasis were collected for microarray

Keywords： gastric carcinoma     metastasis     signal transduction     gene chips    

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State identification of home appliance with transient features in residential buildings

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 130-143 doi: 10.1007/s11708-022-0822-z

Abstract: The proposed method was tested on a high-resolution data set such as Labeled hIgh-Frequency daTaset for

Keywords： load disaggregation     Kalman filtering     factorial hidden Markov model (FHMM)     Labeled hIgh-Frequency daTaset    

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Identification of cancer gene fusions based on advanced analysis of the human genome or transcriptome

Lu Wang

Frontiers of Medicine 2013, Volume 7, Issue 3,   Pages 280-289 doi: 10.1007/s11684-013-0265-3

Abstract: review focused on advanced genome-wide screening approaches in fusion gene identification, such as microarray-based

Keywords： gene fusion     cancer     microarray     next-generation sequencing     NanoString nCounter system    

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MiRNA-451 is a potential biomarker for estrogenicity in mouse uterus

Lingyan HOU, Yun LU, Ying LI, Li LI

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 99-105 doi: 10.1007/s11783-013-0490-7

Abstract: The uterotrophic assay has been commonly used to test environmental estrogens in vivo, however, it is often not sensitive enough sometimes. An alternative way is to evaluate estrogenicity through biomarker genes. MicroRNA (miRNA) is a class of regulatory gene, which has been shown to be a good biomarker for many diseases and toxicological effects in recent years, and some evidences showed that estrogen induced response was partially mediated by miRNAs. In this study, two types of microarrays were used to test the 17β-estradiol (E2) induced miRNA expression profile at different time points in the immature mouse uterus. Statistical analysis showed the aldehyde slide based array had less variation than the amino slide based array, and 11 dysregulated miRNAs were screened out for significant fold change. Real-time PCR was performed to further confirm that 4 out of 7 selected miRNAs, namely miR-451, miR-155, miR-335-5p, and miR-365, are E2 regulated miRNAs in the uterus. The function of the predicted targets of these miRNAs is involved in cell grow control, which is consistent with the main E2 function in the uterus. MiR-451 had similar strong responses to E2 in the uterus of both immature and overiectomized mice, and could be a potential biomarker for estrogenicity in the uterus.

Keywords： estrogen     microRNA (miRNA)     microarray     biomarker    

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Transcriptional modules related to hepatocellular carcinoma survival: coexpression network analysis

Xinsen Xu,Yanyan Zhou,Runchen Miao,Wei Chen,Kai Qu,Qing Pang,Chang Liu

Frontiers of Medicine 2016, Volume 10, Issue 2,   Pages 183-190 doi: 10.1007/s11684-016-0440-4

Abstract: Raw microarray datasets (including 488 samples) were downloaded from the Gene Expression Omnibus (GEO

Keywords： hepatocellular carcinoma     coexpression     module     microarray     prognosis    

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Gene expression disparity in giant cell tumor of bone

Xiaohua PAN, Shuhua YANG, Deming XIAO, Yong DAI, Lili REN

Frontiers of Medicine 2009, Volume 3, Issue 1,   Pages 49-56 doi: 10.1007/s11684-009-0012-y

Abstract: Microarray screening with a set of 8064 human cDNA genes was conducted to analyze the difference amongSpecific gene spectrum associated with GCTB can be identified by cDNA microarray, which will be the foundation

Keywords： giant cell tumor of bone     gene     microarray     cDNA    

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A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1066-1082 doi: 10.1007/s11709-020-0651-2

Abstract: A constrained back propagation neural network (C-BPNN) model for standard penetration test based soil liquefaction assessment with global applicability is developed, incorporating existing knowledge for liquefaction triggering mechanism and empirical relationships. For its development and validation, a comprehensive liquefaction data set is compiled, covering more than 600 liquefaction sites from 36 earthquakes in 10 countries over 50 years with 13 complete information entries. The C-BPNN model design procedure for liquefaction assessment is established by considering appropriate constraints, input data selection, and computation and calibration procedures. Existing empirical relationships for overburden correction and fines content adjustment are shown to be able to improve the prediction success rate of the neural network model, and are thus adopted as constraints for the C-BPNN model. The effectiveness of the C-BPNN method is validated using the liquefaction data set and compared with that of several liquefaction assessment methods currently adopted in engineering practice. The C-BPNN liquefaction model is shown to have improved prediction accuracy and high global adaptability.

Keywords： soil liquefaction assessment     case history dataset     constrained neural network model     existing knowledge    

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Expression and bioinformatic analysis of lymphoma-associated novel gene KIAA0372

BAI Xiangyang, TANG Duozhuang, ZHU Tao, SUN Lishi, YAN Lingling, LU Yunping, ZHOU Jianfeng, MA Ding

Frontiers of Medicine 2007, Volume 1, Issue 1,   Pages 93-98 doi: 10.1007/s11684-007-0018-2

Abstract: Microarray is an efficient and high throughput strategy for detection of differentially expressed genes

Keywords： bioinformatic analysis     functional     KIAA0372     detection     Microarray    

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Nucleic acid-based diagnostics for infectious diseases in public health affairs

Albert Cheung-Hoi Yu, Greg Vatcher, Xin Yue, Yan Dong, Mao Hua Li, Patrick H. K. Tam, Parker Y.L. Tsang, April K.Y. Wong, Michael H.K. Hui, Bin Yang, Hao Tang, Lok-Ting Lau

Frontiers of Medicine 2012, Volume 6, Issue 2,   Pages 173-186 doi: 10.1007/s11684-012-0195-5

Abstract:

Infectious diseases, mostly caused by bacteria and viruses but also a result of fungal and parasitic infection, have been one of the most important public health concerns throughout human history. The first step in combating these pathogens is to get a timely and accurate diagnosis at an affordable cost. Many kinds of diagnostics have been developed, such as pathogen culture, biochemical tests and serological tests, to help detect and fight against the causative agents of diseases. However, these diagnostic tests are generally unsatisfactory because they are not particularly sensitive and specific and are unable to deliver speedy results. Nucleic acid-based diagnostics, detecting pathogens through the identification of their genomic sequences, have shown promise to overcome the above limitations and become more widely adopted in clinical tests. Here we review some of the most popular nucleic acid-based diagnostics and focus on their adaptability and applicability to routine clinical usage. We also compare and contrast the characteristics of different types of nucleic acid-based diagnostics.

Keywords： nucleic acid-based diagnostics     infectious disease     PCR     NASBA     LAMP     microarray     LOAC     public health affairs    

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Analysis of differential expression of genes induced by ethephon in elongating internodes of maize plants

Xiaoyi WEI,Weiqiang ZHANG,Qian ZHANG,Pei SUN,Zhaohu LI,Mingcai ZHANG,Jianmin LI,Liusheng DUAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 3,   Pages 263-282 doi: 10.15302/J-FASE-2016103

Abstract: According to the microarray data, 326 probe sets showed significant change in expression.

Keywords： maize     ethephon     internode elongation     microarray     qPCR    

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EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum Research Article

Yunzhan ZHOU, Tian FENG, Shihui SHUAI, Xiangdong LI, Lingyun SUN, Henry Been-Lirn DUH,yunzhan.zhou@durham.ac.uk,t.feng@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 101-112 doi: 10.1631/FITEE.2000318

Abstract: We present the first 3D Eye-tracking Dataset for modeling in a virtual Museum, known as the EDVAM.

Keywords： Visual attention     Virtual museums     Eye-tracking datasets     Gaze detection     Deep learning    

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Path guided motion synthesis for Drosophila larvae Research Article

Junjun CHEN, Yijun WANG, Yixuan SUN, Yifei YU, Zi'ao LIU, Zhefeng GONG, Nenggan ZHENG,1536779079@qq.com,zng@cs.zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1482-1496 doi: 10.1631/FITEE.2200529

Abstract: The deformability and high degree of freedom of mollusks bring challenges in mathematical modeling and synthesis of motions. Traditional analytical and statistical models are limited by either rigid skeleton assumptions or model capacity, and have difficulty in generating realistic and multi-pattern mollusk motions. In this work, we present a large-scale of larvae and propose a motion synthesis model named Path2Pose to generate a pose sequence given the initial poses and the subsequent guiding path. The Path2Pose model is further used to synthesize long pose sequences of various motion patterns through a recursive generation method. Evaluation analysis results demonstrate that our novel model synthesizes highly realistic mollusk motions and achieves state-of-the-art performance. Our work proves high performance of deep neural networks for mollusk motion synthesis and the feasibility of long pose sequence synthesis based on the customized body shape and guiding path.

Keywords： Motion synthesis of mollusks     Dynamic pose dataset     Morphological analysis     Long pose sequence generation    

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Title Author Date Type Operation

Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Journal Article

Characterization of the genes involved in nitrogen cycling in wastewater treatment plants using DNA microarray

Junqin PANG, Masami MATSUDA, Masashi KURODA, Daisuke INOUE, Kazunari SEI, Kei NISHIDA, Michihiko IKE

Journal Article

A microarray study of altered gene expression during melanoblasts migration in normal pigmented White

Yulin LI,Deping HAN,Junying LI,Dawn KOLTES,Xuemei DENG

Journal Article

Data mining of microarray for differentially expressed genes in liver metastasis from gastric cancer

Ling XU MM, Feng WANG MM, Xuan-Fu XU MD, Wen-Hui MO BM, Rong WAN MD, Chuan-Yong GUO MD, Xing-Peng WANG MD,

Journal Article

State identification of home appliance with transient features in residential buildings

Journal Article

Identification of cancer gene fusions based on advanced analysis of the human genome or transcriptome

Lu Wang

Journal Article

MiRNA-451 is a potential biomarker for estrogenicity in mouse uterus

Lingyan HOU, Yun LU, Ying LI, Li LI

Journal Article

Transcriptional modules related to hepatocellular carcinoma survival: coexpression network analysis

Xinsen Xu,Yanyan Zhou,Runchen Miao,Wei Chen,Kai Qu,Qing Pang,Chang Liu

Journal Article

Gene expression disparity in giant cell tumor of bone

Xiaohua PAN, Shuhua YANG, Deming XIAO, Yong DAI, Lili REN

Journal Article

A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Journal Article

Expression and bioinformatic analysis of lymphoma-associated novel gene KIAA0372

BAI Xiangyang, TANG Duozhuang, ZHU Tao, SUN Lishi, YAN Lingling, LU Yunping, ZHOU Jianfeng, MA Ding

Journal Article

Nucleic acid-based diagnostics for infectious diseases in public health affairs

Albert Cheung-Hoi Yu, Greg Vatcher, Xin Yue, Yan Dong, Mao Hua Li, Patrick H. K. Tam, Parker Y.L. Tsang, April K.Y. Wong, Michael H.K. Hui, Bin Yang, Hao Tang, Lok-Ting Lau

Journal Article

Analysis of differential expression of genes induced by ethephon in elongating internodes of maize plants

Xiaoyi WEI,Weiqiang ZHANG,Qian ZHANG,Pei SUN,Zhaohu LI,Mingcai ZHANG,Jianmin LI,Liusheng DUAN

Journal Article

EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum

Yunzhan ZHOU, Tian FENG, Shihui SHUAI, Xiangdong LI, Lingyun SUN, Henry Been-Lirn DUH,yunzhan.zhou@durham.ac.uk,t.feng@zju.edu.cn

Journal Article

Path guided motion synthesis for Drosophila larvae

Junjun CHEN, Yijun WANG, Yixuan SUN, Yifei YU, Zi'ao LIU, Zhefeng GONG, Nenggan ZHENG,1536779079@qq.com,zng@cs.zju.edu.cn

Journal Article