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ORCIDQuantitative Biology, Volume 6
Volume 6, Number 1, March 2018
- Zhengda Li, Qiong Yang
:
Systems and synthetic biology approaches in understanding biological oscillators. 1-14 - Zhe Yang, Xiaoxuan Wu, Ning Yang, Feng Liu:
Noise transmission during the dynamic pattern formation in fly embryos. 15-29 - Abraham A. Labena, Yi-Zhou Gao, Chuan Dong, Hong-Li Hua, Feng-Biao Guo:
Metabolic pathway databases and model repositories. 30-39 - Yu Zhang, Sha Cao, Jing Zhao, Burair Alsaihati, Qin Ma, Chi Zhang:
MRHCA: a nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network. 40-55 - Harold Pimentel, Zhiyue Hu, Haiyan Huang:
Biclustering by sparse canonical correlation analysis. 56-67 - Adam P. Joyce, James J. Havranek:
Deciphering the protein-DNA code of bacterial winged helix-turn-helix transcription factors. 68-84 - Saad M. Khan, Jason E. Denney, Michael X. Wang, Dong Xu:
Whole-exome sequencing and microRNA profiling reveal PI3K/AKT pathway's involvement in juvenile myelomonocytic leukemia. 85-97
Volume 6, Number 2, June 2018
- Chaima Aouiche, Xuequn Shang, Bolin Chen:
Copy number variation related disease genes. 99-112 - Zhi-Ping Liu:
Towards precise reconstruction of gene regulatory networks by data integration. 113-128 - David Skelding, Samuel F. M. Hart, Thejas Vidyasagar, Alexander E. Pozhitkov, Wenying Shou:
Developing a low-cost milliliter-scale chemostat array for precise control of cellular growth. 129-141 - Guanghui Li, Jiawei Luo, Zheng Xiao, Cheng Liang:
MTMO: an efficient network-centric algorithm for subtree counting and enumeration. 142-154 - Morihiro Hayashida, Noriyuki Okada, Mayumi Kamada, Hitoshi Koyano:
Improving conditional random field model for prediction of protein-RNA residue-base contacts. 155-162 - Yongxiao Yang, Wei Wang, Yuan Lou, Jianxin Yin, Xinqi Gong:
Geometric and amino acid type determinants for protein-protein interaction interfaces. 163-174 - Shansong Liu, Kui Hua, Sijie Chen, Xuegong Zhang:
Comprehensive simulation of metagenomic sequencing data with non-uniform sampling distribution. 175-185 - Bei Wang, Jinyu Chen, Shihua Zhang:
BMTK: a toolkit for determining modules in biological bipartite networks. 186-192
Volume 6, Number 3, September 2018
- Xinshu Xiao, Chaolin Zhang:
Special issue on RNA processing and regulation. 193-194 - Wei Vivian Li, Jingyi Jessica Li:
Modeling and analysis of RNA-seq data: a review from a statistical perspective. 195-209 - Nicole M. Martinez, Wendy V. Gilbert:
Pre-mRNA modifications and their role in nuclear processing. 210-227 - Molly M. Hannigan, Leah L. Zagore, Donny D. Licatalosi:
Mapping transcriptome-wide protein-RNA interactions to elucidate RNA regulatory programs. 228-238 - Jing Gong, Yanyan Ju, Di Shao, Qiangfeng Cliff Zhang:
Advances and challenges towards the study of RNA-RNA interactions in a transcriptome-wide scale. 239-252 - Aysegul Guvenek, Bin Tian:
Analysis of alternative cleavage and polyadenylation in mature and differentiating neurons using RNA-seq data. 253-266 - Allison J. Taggart, William G. Fairbrother:
ShapeShifter: a novel approach for identifying and quantifying stable lariat intronic species in RNAseq data. 267-274 - Minzhe Zhang, Qiwei Li, Yang Xie:
A Bayesian hierarchical model for analyzing methylated RNA immunoprecipitation sequencing data. 275-286
Volume 6, Number 4, December 2018
- Jenny Jeong, Qinwei Zhuang, Mark K. Transtrum, Enlu Zhou, Peng Qiu:
Experimental design and model reduction in systems biology. 287-306 - Li Li, Huanqian Yan, Yonggang Lu:
Selecting near-native protein structures from ab initio models using ensemble clustering. 307-312 - Youfu Su, Can Zhao, Zheng Chen, Bo Tian, Zengyou He:
On the statistical significance of protein complex. 313-320 - Hui Wang, Gang Wang, Lida Zhu, Xuan Xu, Bo Diao, Hong-Yu Zhang:
Subnetwork identification and chemical modulation for neural regeneration: A study combining network guided forest and heat diffusion model. 321-333 - Tanlin Sun, Luhua Lai, Jianfeng Pei:
Analysis of protein features and machine learning algorithms for prediction of druggable proteins. 334-343 - Xiaoqi Chai, Qinle Ba, Ge Yang:
Characterizing robustness and sensitivity of convolutional neural networks for quantitative analysis of mitochondrial morphology. 344-358 - Sheng Wang, Zhen Li, Yizhou Yu, Xin Gao:
WaveNano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional WaveNets. 359-368
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