Mapping Epigenetic Landscapes of Gene Regulatory Networks by Adaptive Weighted Ensemble Sampling

被引：1
|
作者：
Tse, Margaret J. [1 ]
Chu, Brian K. [1 ]
Read, Elizabeth L. [1 ]
机构：
[1] Univ Calif Irvine, Irvine, CA USA
来源：
BIOPHYSICAL JOURNAL | 2016年 / 110卷 / 03期
关键词：
D O I：
10.1016/j.bpj.2015.11.2645
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
2439-Pos
引用
收藏
页码：494A / 495A
页数：7
相关论文
共 50 条
  • [41] Mapping gene regulatory networks from single-cell omics data
    Fiers, Mark W. E. J.
    Minnoye, Liesbeth
    Aibar, Sara
    Gonzalez-Blas, Carmen Bravo
    Atak, Zeynep Kalender
    Aerts, Stein
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2018, 17 (04) : 246 - 254
  • [42] Inference of Nonlinear Gene Regulatory Networks through Optimized Ensemble of Support Vector Regression and Dynamic Bayesian Networks
    Akutekwe, Arinze
    Seker, Huseyin
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 8173 - 8176
  • [43] INTEGRATIVE ANALYSES OF GENE REGULATORY LANDSCAPES REVEAL RHABDOID TUMOR SUBGROUPS WITH POSSIBLE IMMUNE MODULATION THROUGH EPIGENETIC DYSREGULATION
    Johann, Pascal
    Chun, Hye-Jung
    Erkek, Serap
    Iskar, Murat
    Perlman, Elizabeth
    Hasselblatt, Martin
    Pfister, Stefan M.
    Marra, Marco
    Kool, Marcel
    NEURO-ONCOLOGY, 2019, 21 : 64 - 65
  • [44] Adaptive NetworkProfiler for Identifying Cancer Characteristic-Specific Gene Regulatory Networks
    Park, Heewon
    Shimamura, Teppei
    Imoto, Seiya
    Miyano, Satoru
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2018, 25 (02) : 130 - 145
  • [45] Regulatory gene networks that shape the development of adaptive phenotypic plasticity in a cichlid fish
    Schneider, Ralf F.
    Li, Yuanhao
    Meyer, Axel
    Gunter, Helen M.
    MOLECULAR ECOLOGY, 2014, 23 (18) : 4511 - 4526
  • [46] EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks
    Aluru, Maneesha
    Shrivastava, Harsh
    Chockalingam, Sriram P.
    Shivakumar, Shruti
    Aluru, Srinivas
    BIOINFORMATICS, 2022, 38 (05) : 1312 - 1319
  • [47] Automated generation of context-specific gene regulatory networks with a weighted approach in Drosophila melanogaster
    Murgas, Leandro
    Contreras-Riquelme, Sebastian
    Eduardo Martinez-Hernandez, J.
    Villaman, Camilo
    Santibanez, Rodrigo
    Martin, Alberto J. M.
    INTERFACE FOCUS, 2021, 11 (04)
  • [48] Inferring regulatory element landscapes and gene regulatory networks from integrated analysis in eight hulless barley varieties under abiotic stress
    Xu, Qijun
    Huang, Shunmou
    Guo, Ganggang
    Yang, Chunbao
    Wang, Mu
    Zeng, Xingquan
    Wang, Yulin
    BMC GENOMICS, 2022, 23 (01):
  • [49] Inferring regulatory element landscapes and gene regulatory networks from integrated analysis in eight hulless barley varieties under abiotic stress
    Qijun Xu
    Shunmou Huang
    Ganggang Guo
    Chunbao Yang
    Mu Wang
    Xingquan Zeng
    Yulin Wang
    BMC Genomics, 23
  • [50] Identifying gene regulatory networks from time series expression data by in silico sampling and screening
    Morohashi, M
    Kitano, H
    ADVANCES IN ARTIFICIAL LIFE, PROCEEDINGS, 1999, 1674 : 477 - 486
12345