Результати пошуку - Ling‐Yun Wu

  • Показ 1 - 13 результатів із 13
Уточнити результати
  1. 1
    Efficient methods for identifying mutated driver pathways in cancer

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

    Опубліковано 2012
    Отримати повний текст Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  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 за авторством Yan Xu, Jun Ding, Ling‐Yun Wu, Kuo‐Chen Chou

    Опубліковано 2013
    Отримати повний текст Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  3. 3
    Discovery of co-occurring driver pathways in cancer

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

    Опубліковано 2014
    Отримати повний текст Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  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 за авторством Zhiping Liu, Ling‐Yun Wu, Yong Wang, Yu Xia, Luonan Chen

    Опубліковано 2010
    Отримати повний текст Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  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 за авторством Yan Xu, Ya-Xin Ding, Jun Ding, Ling‐Yun Wu, Yu Xue

    Опубліковано 2016
    Отримати повний текст Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  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 за авторством Yan Xu, Xiaojian Shao, Ling‐Yun Wu, Nai-Yang Deng, Kuo‐Chen Chou

    Опубліковано 2013
    Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  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 за авторством Yan Xu, Xin Wen, Wen Lishu, Ling‐Yun Wu, Nai-Yang Deng, Kuo‐Chen Chou

    Опубліковано 2014
    Отримати повний текст Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  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 за авторством Kai Li, Jiang Wang, Shanshan Li, Haitao Yu, Lin Zhu, Jing Liu, Ling‐Yun Wu

    Опубліковано 2021
    Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  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 за авторством Yan Xu, Ya-Xin Ding, Jun Ding, Ya-Hui Lei, Ling‐Yun Wu, Nai-Yang Deng

    Опубліковано 2015
    Отримати повний текст Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  10. 10
    NOA: a novel Network Ontology Analysis method

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

    Опубліковано 2011
    Отримати повний текст Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  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 за авторством 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

    Опубліковано 2014
    Отримати повний текст
    Revisão
    Додати у Вибране
    Збережено в:
  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... за авторством 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

    Опубліковано 2015
    Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:
  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 за авторством 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

    Опубліковано 2021
    Отримати повний текст
    Artigo
    Додати у Вибране
    Збережено в:

Інструменти для пошуку: