Suchergebnisse - Ling‐Yun Wu

  • Treffer 1 - 13 von 13
Treffer weiter einschränken
  1. 1
    Efficient methods for identifying mutated driver pathways in cancer

    Efficient methods for identifying mutated driver pathways in cancer von Junfei Zhao, Shihua Zhang, Ling‐Yun Wu, Yu Xia

    Veröffentlicht 2012
    Volltext Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  2. 2
    iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition

    iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition von Yan Xu, Jun Ding, Ling‐Yun Wu, Kuo‐Chen Chou

    Veröffentlicht 2013
    Volltext Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  3. 3
    Discovery of co-occurring driver pathways in cancer

    Discovery of co-occurring driver pathways in cancer von Junhua Zhang, Ling-Yun Wu, Xiang-Sun Zhang, Shihua Zhang

    Veröffentlicht 2014
    Volltext Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  4. 4
    Prediction of protein–RNA binding sites by a random forest method with combined features

    Prediction of protein–RNA binding sites by a random forest method with combined features von Zhiping Liu, Ling‐Yun Wu, Yong Wang, Yu Xia, Luonan Chen

    Veröffentlicht 2010
    Volltext Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  5. 5
    Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection

    Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection von Yan Xu, Ya-Xin Ding, Jun Ding, Ling‐Yun Wu, Yu Xue

    Veröffentlicht 2016
    Volltext Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  6. 6
    iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine<i>S</i>-nitrosylation sites in proteins

    iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine<i>S</i>-nitrosylation sites in proteins von Yan Xu, Xiaojian Shao, Ling‐Yun Wu, Nai-Yang Deng, Kuo‐Chen Chou

    Veröffentlicht 2013
    Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  7. 7
    iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition

    iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition von Yan Xu, Xin Wen, Wen Lishu, Ling‐Yun Wu, Nai-Yang Deng, Kuo‐Chen Chou

    Veröffentlicht 2014
    Volltext Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  8. 8
    Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG

    Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG von Kai Li, Jiang Wang, Shanshan Li, Haitao Yu, Lin Zhu, Jing Liu, Ling‐Yun Wu

    Veröffentlicht 2021
    Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  9. 9
    iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity

    iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity von Yan Xu, Ya-Xin Ding, Jun Ding, Ya-Hui Lei, Ling‐Yun Wu, Nai-Yang Deng

    Veröffentlicht 2015
    Volltext Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  10. 10
    NOA: a novel Network Ontology Analysis method

    NOA: a novel Network Ontology Analysis method von Jiguang Wang, Qiang Huang, Zhi-Ping Liu, Yong Wang, Ling‐Yun Wu, Luonan Chen, Xiang‐Sun Zhang

    Veröffentlicht 2011
    Volltext Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  11. 11
    Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential Mechanism

    Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential Mechanism von Péter Csermely, János Hódsági, Tamás Korcsmáros, Dezső Módos, Áron R. Perez-Lopez, Kristóf Z. Szalay, Dániel V. Veres, Katalin Lenti, Ling‐Yun Wu, Yu Xia

    Veröffentlicht 2014
    Volltext
    Revisão
    Zu den Favoriten
    Gespeichert in:
  12. 12
    Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential Mechanism: network models, novel therapeutic target strategies, and the contributions of hypoxia, inflammation and cellular senescence.

    Cancer stem cells display extremely large evolvability: alternating plastic and rigid networks as a potential Mechanism: network models, novel therapeutic target strategies, and th... von Péter Csermely, János Hódsági, Tamás Korcsmáros, Dezső Módos, Áron R. Perez-Lopez, Kristóf Z. Szalay, Dániel V. Veres, Katalin Lenti, Ling Yun Wu, Xiang-Sun Zhang

    Veröffentlicht 2015
    Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:
  13. 13
    Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data

    Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data von Duanchen Sun, Xiangnan Guan, Amy E. Moran, Ling‐Yun Wu, David Z. Qian, Pepper Schedin, Mu‐Shui Dai, Alexey V. Danilov, Joshi J. Alumkal, Andrew Adey, Paul T. Spellman, Zheng Xia

    Veröffentlicht 2021
    Volltext
    Artigo
    Zu den Favoriten
    Gespeichert in:

Suchwerkzeuge: