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1435 result(s) for 'natural language processing' within BMC Bioinformatics

Page 29 of 29

  1. Running multiple-chain Markov Chain Monte Carlo (MCMC) provides an efficient parallel computing method for complex Bayesian models, although the efficiency of the approach critically depends on the length of t...

    Authors: Peng Guo, Bo Zhu, Hong Niu, Zezhao Wang, Yonghu Liang, Yan Chen, Lupei Zhang, Hemin Ni, Yong Guo, El Hamidi A. Hay, Xue Gao, Huijiang Gao, Xiaolin Wu, Lingyang Xu and Junya Li
    Citation: BMC Bioinformatics 2018 19:3
  2. The identification of chromosomal homology will shed light on such mysteries of genome evolution as DNA duplication, rearrangement and loss. Several approaches have been developed to detect chromosomal homolog...

    Authors: Xiyin Wang, Xiaoli Shi, Zhe Li, Qihui Zhu, Lei Kong, Wen Tang, Song Ge and Jingchu Luo
    Citation: BMC Bioinformatics 2006 7:447
  3. Several recent studies have used the Minimum Dominating Set (MDS) model to identify driver nodes, which provide the control of the underlying networks, in protein interaction networks. There may exist multiple...

    Authors: Xiao-Fei Zhang, Le Ou-Yang, Dao-Qing Dai, Meng-Yun Wu, Yuan Zhu and Hong Yan
    Citation: BMC Bioinformatics 2016 17:358
  4. Viral infection by dengue virus is a major public health problem in tropical countries. Early diagnosis and detection are increasingly based on quantitative reverse transcriptase real-time polymerase chain rea...

    Authors: Kevin Vanneste, Linda Garlant, Sylvia Broeders, Steven Van Gucht and Nancy H. Roosens
    Citation: BMC Bioinformatics 2018 19:312
  5. Drug combination that consists of distinctive agents is an attractive strategy to combat complex diseases and has been widely used clinically with improved therapeutic effects. However, the identification of e...

    Authors: Yin-Ying Wang, Ke-Jia Xu, Jiangning Song and Xing-Ming Zhao
    Citation: BMC Bioinformatics 2012 13(Suppl 7):S7

    This article is part of a Supplement: Volume 13 Supplement 7

  6. Feature selection in class-imbalance learning has gained increasing attention in recent years due to the massive growth of high-dimensional class-imbalanced data across many scientific fields. In addition to r...

    Authors: Guang-Hui Fu, Yuan-Jiao Wu, Min-Jie Zong and Jianxin Pan
    Citation: BMC Bioinformatics 2020 21:121
  7. Many content-based statistical features of secondary structural elements (CBF-PSSEs) have been proposed and achieved promising results in protein structural class prediction, but until now position distributio...

    Authors: Qi Dai, Yan Li, Xiaoqing Liu, Yuhua Yao, Yunjie Cao and Pingan He
    Citation: BMC Bioinformatics 2013 14:152
  8. Transcription factors (TFs) are important regulatory proteins that govern transcriptional regulation. Today, it is known that in higher organisms different TFs have to cooperate rather than acting individually...

    Authors: Cornelia Meckbach, Rebecca Tacke, Xu Hua, Stephan Waack, Edgar Wingender and Mehmet Gültas
    Citation: BMC Bioinformatics 2015 16:400
  9. Long read sequencing technologies such as Oxford Nanopore can greatly decrease the complexity of de novo genome assembly and large structural variation identification. Currently Nanopore reads have high error ...

    Authors: Nathan LaPierre, Rob Egan, Wei Wang and Zhong Wang
    Citation: BMC Bioinformatics 2019 20:552
  10. Genotyping-by-sequencing (GBS) has been used broadly in genetic studies for several species, especially those with agricultural importance. However, its use is still limited in autopolyploid species because ge...

    Authors: Guilherme S. Pereira, Antonio Augusto F. Garcia and Gabriel R. A. Margarido
    Citation: BMC Bioinformatics 2018 19:398
  11. Determining the association between tumor sample and the gene is demanding because it requires a high cost for conducting genetic experiments. Thus, the discovered association between tumor sample and gene fur...

    Authors: Mohan Timilsina, Haixuan Yang, Ratnesh Sahay and Dietrich Rebholz-Schuhmann
    Citation: BMC Bioinformatics 2019 20:462
  12. Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the li...

    Authors: Janet C. Siebert, Charles Preston Neff, Jennifer M. Schneider, Emilie H. Regner, Neha Ohri, Kristine A. Kuhn, Brent E. Palmer, Catherine A. Lozupone and Carsten Görg
    Citation: BMC Bioinformatics 2019 20:432
  13. Studies exploring the potential of Chaos Game Representations (CGR) of genomic sequences to act as “genomic signatures” (to be species- and genome-specific) showed that CGR patterns of nuclear and organellar D...

    Authors: Rallis Karamichalis, Lila Kari, Stavros Konstantinidis, Steffen Kopecki and Stephen Solis-Reyes
    Citation: BMC Bioinformatics 2016 17:313
  14. Modern genomic and proteomic profiling methods produce large amounts of data from tissue and blood-based samples that are of potential utility for improving patient care. However, the design of precision medic...

    Authors: Joanna Roder, Carlos Oliveira, Lelia Net, Maxim Tsypin, Benjamin Linstid and Heinrich Roder
    Citation: BMC Bioinformatics 2019 20:325
  15. The interactions between non-coding RNAs (ncRNA) and proteins play an essential role in many biological processes. Several high-throughput experimental methods have been applied to detect ncRNA-protein interac...

    Authors: Hai-Cheng Yi, Zhu-Hong You, Mei-Neng Wang, Zhen-Hao Guo, Yan-Bin Wang and Ji-Ren Zhou
    Citation: BMC Bioinformatics 2020 21:60
  16. Carbohydrate-active enzymes are found in all organisms and participate in key biological processes. These enzymes are classified in 274 families in the CAZy database but the sequence diversity within each fami...

    Authors: P. K. Busk, B. Pilgaard, M. J. Lezyk, A. S. Meyer and L. Lange
    Citation: BMC Bioinformatics 2017 18:214
  17. Intra-tumor heterogeneity is known to contribute to cancer complexity and drug resistance. Understanding the number of distinct subclones and the evolutionary relationships between them is scientifically and c...

    Authors: Hosein Toosi, Ali Moeini and Iman Hajirasouliha
    Citation: BMC Bioinformatics 2019 20(Suppl 11):282

    This article is part of a Supplement: Volume 20 Supplement 11

  18. Epigenetic heterogeneity within a tumour can play an important role in tumour evolution and the emergence of resistance to treatment. It is increasingly recognised that the study of DNA methylation (DNAm) patt...

    Authors: James E. Barrett, Andrew Feber, Javier Herrero, Miljana Tanic, Gareth A. Wilson, Charles Swanton and Stephan Beck
    Citation: BMC Bioinformatics 2017 18:354
  19. Ribosome profiling brings insight to the process of translation. A basic step in profile construction at transcript level is to map Ribo-seq data to transcripts, and then assign a huge number of multiple-mappe...

    Authors: Hongfei Cui, Hailin Hu, Jianyang Zeng and Ting Chen
    Citation: BMC Bioinformatics 2019 20(Suppl 24):678

    This article is part of a Supplement: Volume 20 Supplement 24

  20. Missense mutations in the first five exons of F9, which encodes factor FIX, represent 40% of all mutations that cause hemophilia B. To address the ongoing debate regarding in silico identification of disease-caus...

    Authors: Lennon Meléndez-Aranda, Ana Rebeca Jaloma-Cruz, Nina Pastor and Marina María de Jesús Romero-Prado
    Citation: BMC Bioinformatics 2019 20:363

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