Functional data analysis for computational biology

被引:15
作者
Cremona, Marzia A. [1 ]
Xu, Hongyan [2 ]
Makova, Kateryna D. [3 ,4 ]
Reimherr, Matthew [1 ]
Chiaromonte, Francesca [1 ,5 ]
Madrigal, Pedro [6 ,7 ]
机构
[1] Penn State Univ, Dept Stat, University Pk, PA 16802 USA
[2] Augusta Univ, Dept Populat Hlth Sci, Med Coll Georgia, Augusta, GA 30912 USA
[3] Penn State Univ, Dept Biol, University Pk, PA 16802 USA
[4] Penn State Univ, Huck Inst Life Sci, Ctr Med Genom, University Pk, PA 16802 USA
[5] St Anna Sch Adv Studies, Inst Econ, EMbeDS Econ & Management Era Data Sci, I-56127 Pisa, Italy
[6] Univ Cambridge, Wellcome Trust MRC Cambridge Stem Cell Inst, Cambridge CB2 0PT, England
[7] Univ Cambridge, Dept Haematol, Cambridge CB2 0PT, England
关键词
D O I
10.1093/bioinformatics/btz045
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
[No abstract available]
引用
收藏
页码:3211 / 3213
页数:3
相关论文
共 21 条
[1]   The function-on-scalar LASSO with applications to longitudinal GWAS [J].
Barber, Rina Foygel ;
Reimherr, Matthew ;
Schill, Thomas .
ELECTRONIC JOURNAL OF STATISTICS, 2017, 11 (01) :1351-1389
[2]   Integration and Fixation Preferences of Human and Mouse Endogenous Retroviruses Uncovered with Functional Data Analysis [J].
Campos-Sanchez, Rebeca ;
Cremona, Marzia A. ;
Pini, Alessia ;
Chiaromonte, Francesca ;
Makova, Kateryna D. .
PLOS COMPUTATIONAL BIOLOGY, 2016, 12 (06)
[3]   scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells [J].
Clark, Stephen J. ;
Argelaguet, Ricard ;
Kapourani, Chantriolnt-Andreas ;
Stubbs, Thomas M. ;
Lee, Heather J. ;
Alda-Catalinas, Celia ;
Krueger, Felix ;
Sanguinetti, Guido ;
Kelsey, Gavin ;
Marioni, John C. ;
Stegle, Oliver ;
Reik, Wolf .
NATURE COMMUNICATIONS, 2018, 9
[4]   Child Weight Gain Trajectories Linked To Oral Microbiota Composition [J].
Craig, Sarah J. C. ;
Blankenberg, Daniel ;
Parodi, Alice Carla Luisa ;
Paul, Ian M. ;
Birch, Leann L. ;
Savage, Jennifer S. ;
Marini, Michele E. ;
Stokes, Jennifer L. ;
Nekrutenko, Anton ;
Reimherr, Matthew ;
Chiaromonte, Francesca ;
Makova, Kateryna D. .
SCIENTIFIC REPORTS, 2018, 8
[5]   IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales [J].
Cremona, Marzia A. ;
Pini, Alessia ;
Cumbo, Fabio ;
Makova, Kateryna D. ;
Chiaromonte, Francesca ;
Vantini, Simone .
BIOINFORMATICS, 2018, 34 (13) :2289-2291
[6]   Peak shape clustering reveals biological insights [J].
Cremona, Marzia A. ;
Sangalli, Laura M. ;
Vantini, Simone ;
Dellino, Gaetano I. ;
Pelicci, Pier Giuseppe ;
Secchi, Piercesare ;
Riva, Laura .
BMC BIOINFORMATICS, 2015, 16
[7]   Shape information from glucose curves: Functional data analysis compared with traditional summary measures [J].
Froslie, Kathrine Frey ;
Roislien, Jo ;
Qvigstad, Elisabeth ;
Godang, Kristin ;
Bollerslev, Jens ;
Voldner, Nanna ;
Henriksen, Tore ;
Veierod, Marit B. .
BMC MEDICAL RESEARCH METHODOLOGY, 2013, 13
[8]   Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate [J].
Guiblet, Wilfried M. ;
Cremona, Marzia A. ;
Cechova, Monika ;
Harris, Robert S. ;
Kejnovska, Iva ;
Kejnovsky, Eduard ;
Eckert, Kristin ;
Chiaromonte, Francesca ;
Makova, Kateryna D. .
GENOME RESEARCH, 2018, 28 (12) :1767-1778
[9]   FGWAS: Functional genome wide association analysis [J].
Huang, Chao ;
Thompson, Paul ;
Wang, Yalin ;
Yu, Yang ;
Zhang, Jingwen ;
Kong, Dehan ;
Colen, Rivka R. ;
Knickmeyer, Rebecca C. ;
Zhu, Hongtu .
NEUROIMAGE, 2017, 159 :107-121
[10]  
Kang H. B, 2017, ARXIV171001619