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Quantitative Biology, Volume 4
Volume 4, Number 1, March 2016
- Amal Katrib, William Hsu

, Alex A. T. Bui, Yi Xing:
"Radiotranscriptomics": A synergy of imaging and transcriptomics in clinical assessment. 1-12 - Yoshito Hirata

, Kai Morino, Taiji Suzuki, Qian Guo
, Hiroshi Fukuhara, Kazuyuki Aihara:
System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer. 13-19 - Xuegong Zhang:

Special collection of recent advances in next-generation bioinformatics. 20-21 - Qiong-Yi Zhao

, Jacob Gratten
, Restuadi Restuadi
, Xuan Li:
Mapping and differential expression analysis from short-read RNA-Seq data in model organisms. 22-35 - Chang-Chang Cao, Xiao Sun:

Combinatorial pooled sequencing: experiment design and decoding. 36-46 - Ye Yuan

, Xinying Ren, Zhen Xie, Xiaowo Wang
:
A quantitative understanding of microRNA-mediated competing endogenous RNA regulation. 47-57 - Dongfang Wang, Jin Gu:

Integrative clustering methods of multi-omics data for molecule-based cancer classifications. 58-67
Volume 4, Number 2, June 2016
- Marc Turcotte:

Delineating the respective impacts of stochastic curl- and grad-forces in a family of idealized core genetic commitment circuits. 69-83 - Ze-Gang Wei, Shao-Wu Zhang, Fang Jing:

Exploring the interaction patterns among taxa and environments from marine metagenomic data. 84-91 - Xuegong Zhang:

Special collection of recent advances in next-generation bioinformatics, part II. 92-93 - Xuan Li, Yi-Meng Kong, Qiong-Yi Zhao

, Yuan-Yuan Li, Pei Hao
:
De novo assembly of transcriptome from next-generation sequencing data. 94-105 - Jing Tu, Na Lu

, Mengqin Duan, An Ju, Xiao Sun, Zuhong Lu:
Comparison of the experimental methods in haplotype sequencing via next generation sequencing. 106-114 - Jiaxin Wu, Mengmeng Wu, Ting Chen, Rui Jiang:

Whole genome sequencing and its applications in medical genetics. 115-128 - Juntao Gao, Xusan Yang

, Mohamed Nadhir Djekidel
, Yang Wang, Peng Xi, Michael Q. Zhang:
Developing bioimaging and quantitative methods to study 3D genome. 129-147
Volume 4, Number 3, September 2016
- Zohreh Baharvand Irannia, Ting Chen:

TACO: Taxonomic prediction of unknown OTUs through OTU co-abundance networks. 149-158 - Haiguang Liu, John C. H. Spence:

XFEL data analysis for structural biology. 159-176 - Ruchuan Liu, Yuliang Li, Liyu Liu:

Single molecule fluorescence spectroscopy for quantitative biological applications. 177-191 - Hongfei Cui, Yingxue Li, Xuegong Zhang:

An overview of major metagenomic studies on human microbiomes in health and disease. 192-206 - Jinggong Xiang-Yu, Zongfeng Yang, Kun Tang, Haipeng Li:

Revisiting the false positive rate in detecting recent positive selection. 207-216 - Chao He, Guipeng Li

, Mohamed Nadhir Djekidel
, Yang Chen, Xiaowo Wang
, Michael Q. Zhang:
Advances in computational ChIA-PET data analysis. 217-225 - Jinhua Wu, Zewei Luo, Ning Jiang:

Design of efficient simplified genomic DNA and bisulfite sequencing in large plant populations. 226-239 - Marc Turcotte:

Erratum to: Delineating the respective impacts of stochastic curl- and grad-forces in a family of idealized core genetic commitment circuits. 240-241
Volume 4, Number 4, December 2016
- Zhun Miao, Xuegong Zhang:

Differential expression analyses for single-cell RNA-Seq: old questions on new data. 243-260 - Petr Kloucek, Armin von Gunten

:
On the possibility of identifying human subjects using behavioural complexity analyses. 261-269 - Sebastián Torcida, Paula González, Federico Lotto:

A resistant method for landmark-based analysis of individual asymmetry in two dimensions. 270-282 - Jing Qin, Bin Yan, Yaohua Hu, Panwen Wang, Junwen Wang:

Applications of integrative OMICs approaches to gene regulation studies. 283-301 - Bingxiang Xu, Zhihua Zhang:

Computational inference of physical spatial organization of eukaryotic genomes. 302-309 - Guanghui Zhu

, Xing-Ming Zhao, Jun Wu:
A survey on biomarker identification based on molecular networks. 310-319 - Yasen Jiao, Pufeng Du:

Performance measures in evaluating machine learning based bioinformatics predictors for classifications. 320-330

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