An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data

被引:0
|
作者
Troy M. LaPolice
Yi-Fei Huang
机构
[1] Pennsylvania State University,Department of Biology
[2] Pennsylvania State University,Bioinformatics and Genomics Graduate Program
[3] Pennsylvania State University,Huck Institutes of the Life Sciences
来源
关键词
Deep Learning; Unsupervised; Essential Genes; Loss of Function Intolerance; Population Genomics; Functional Genomics;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] A Deep Learning Approach for Predicting Spatiotemporal Dynamics From Sparsely Observed Data
    Saha, Priyabrata
    Mukhopadhyay, Saibal
    IEEE ACCESS, 2021, 9 : 64200 - 64210
  • [42] Predicting Animal Behavior from Neuronal Miniscope Data: A Deep Learning Approach
    Das, Subhrajit
    Senarathna, Janaka
    Ouyang, Emma
    Banerjee, Amit
    Pathak, Arvind P.
    MEDICAL IMAGING 2024: IMAGE PROCESSING, 2024, 12926
  • [43] Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning
    Kalinicheva, Ekaterina
    Landrieu, Loic
    Mallet, Clement
    Chehata, Nesrine
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 112
  • [44] Deep online hierarchical dynamic unsupervised learning for pattern mining from utility usage data
    Mohamad, Saad
    Bouchachia, Abdelhamid
    NEUROCOMPUTING, 2020, 390 : 359 - 373
  • [45] RAPID MAPPING OF LANDSLIDES FROM SENTINEL-2 DATA USING UNSUPERVISED DEEP LEARNING
    Shahabi, H.
    Rahimzad, M.
    Ghorbanzadeh, O.
    Piralilou, S. T.
    Blaschke, T.
    Homayouni, S.
    Ghamisi, P.
    2022 IEEE MEDITERRANEAN AND MIDDLE-EAST GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (M2GARSS), 2022, : 17 - 20
  • [46] Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness
    Rahaman, Md Abdur
    Chen, Jiayu
    Fu, Zening
    Lewis, Noah
    Iraji, Armin
    Calhoun, Vince D.
    2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 3267 - 3272
  • [47] Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data
    Huang, Yi-Fei
    Gulko, Brad
    Siepel, Adam
    NATURE GENETICS, 2017, 49 (04) : 618 - +
  • [48] Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data
    Yi-Fei Huang
    Brad Gulko
    Adam Siepel
    Nature Genetics, 2017, 49 : 618 - 624
  • [49] TabDEG: Classifying differentially expressed genes from RNA-seq data based on feature extraction and deep learning framework
    Feng, Sifan
    Wang, Zhenyou
    Jin, Yinghua
    Xu, Shengbin
    PLOS ONE, 2024, 19 (07):
  • [50] Gene expression clock: an unsupervised deep learning approach for predicting circadian rhythmicity from whole genome expression
    Ansary Ogholbake, Aram
    Cheng, Qiang
    Neural Computing and Applications, 2024, 36 (33) : 20653 - 20670