| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A case study on the detailed reproducibility of a Human Cell Atlas project
|
Hua, Kui
|
|
2018
|
|
2 |
p. 162-169
|
artikel
|
| 2 |
A censored-Poisson model based approach to the analysis of RNA-seq data
|
Chen, Xing
|
|
|
|
2 |
p. 155-171
|
artikel
|
| 3 |
A model of NSCLC microenvironment predicts optimal receptor targets
|
Han, Chuang
|
|
2019
|
|
2 |
p. 147-161
|
artikel
|
| 4 |
A novel method to identify topological domains using Hi-C data
|
Wang, Yang
|
|
2015
|
|
2 |
p. 81-89
|
artikel
|
| 5 |
A pan-cancer integrative pathway analysis of multi-omics data
|
Linder, Henry
|
|
|
|
2 |
p. 130-142
|
artikel
|
| 6 |
Applications of probability and statistics in cancer genomics
|
Ma, Xiaotu
|
|
|
|
2 |
p. 95-108
|
artikel
|
| 7 |
A quantitative understanding of lac repressor’s binding specificity and flexibility
|
Zuo, Zheng
|
|
2015
|
|
2 |
p. 69-80
|
artikel
|
| 8 |
A systematic analysis of intrinsic regulators for HIV-1 R5 to X4 phenotypic switch
|
Yu, Wei
|
|
2017
|
|
2 |
p. 173-182
|
artikel
|
| 9 |
BMTK: a toolkit for determining modules in biological bipartite networks
|
Wang, Bei
|
|
2018
|
|
2 |
p. 186-192
|
artikel
|
| 10 |
Comparison of the experimental methods in haplotype sequencing via next generation sequencing
|
Tu, Jing
|
|
2016
|
|
2 |
p. 106-114
|
artikel
|
| 11 |
Comprehensive simulation of metagenomic sequencing data with non-uniform sampling distribution
|
Liu, Shansong
|
|
2018
|
|
2 |
p. 175-185
|
artikel
|
| 12 |
Confidence intervals for Markov chain transition probabilities based on next generation sequencing reads data
|
Wan, Lin
|
|
|
|
2 |
p. 143-154
|
artikel
|
| 13 |
Control of synthetic gene networks and its applications
|
Menn, David J.
|
|
2017
|
|
2 |
p. 124-135
|
artikel
|
| 14 |
Copy number variation related disease genes
|
Aouiche, Chaima
|
|
2018
|
|
2 |
p. 99-112
|
artikel
|
| 15 |
Counting single cells and computing their heterogeneity: from phenotypic frequencies to mean value of a quantitative biomarker
|
Qian, Hong
|
|
|
|
2 |
p. 172-176
|
artikel
|
| 16 |
Current challenges and solutions of de novo assembly
|
Liao, Xingyu
|
|
2019
|
|
2 |
p. 90-109
|
artikel
|
| 17 |
Current progresses of 3D bioprinting based tissue engineering
|
Zhang, Zeyu
|
|
2017
|
|
2 |
p. 136-142
|
artikel
|
| 18 |
Delineating the respective impacts of stochastic curl- and grad-forces in a family of idealized core genetic commitment circuits
|
Turcotte, Marc
|
|
2016
|
|
2 |
p. 69-83
|
artikel
|
| 19 |
De novo assembly of transcriptome from next-generation sequencing data
|
Li, Xuan
|
|
2016
|
|
2 |
p. 94-105
|
artikel
|
| 20 |
Developing a low-cost milliliter-scale chemostat array for precise control of cellular growth
|
Skelding, David
|
|
2018
|
|
2 |
p. 129-141
|
artikel
|
| 21 |
Developing bioimaging and quantitative methods to study 3D genome
|
Gao, Juntao
|
|
2016
|
|
2 |
p. 129-147
|
artikel
|
| 22 |
Dynamical network biomarkers for identifying critical transitions and their driving networks of biologic processes
|
Liu, Rui
|
|
2013
|
|
2 |
p. 105-114
|
artikel
|
| 23 |
Elastic restricted Boltzmann machines for cancer data analysis
|
Zhang, Sai
|
|
2017
|
|
2 |
p. 159-172
|
artikel
|
| 24 |
Engineering synthetic optogenetic networks for biomedical applications
|
Wang, Meiyan
|
|
2017
|
|
2 |
p. 111-123
|
artikel
|
| 25 |
Exon expression QTL (eeQTL) analysis highlights distant genomic variations associated with splicing regulation
|
Guan, Leying
|
|
2014
|
|
2 |
p. 71-79
|
artikel
|
| 26 |
Exploring the interaction patterns among taxa and environments from marine metagenomic data
|
Wei, Ze-Gang
|
|
2016
|
|
2 |
p. 84-91
|
artikel
|
| 27 |
Geometric and amino acid type determinants for protein-protein interaction interfaces
|
Yang, Yongxiao
|
|
2018
|
|
2 |
p. 163-174
|
artikel
|
| 28 |
Global quantitative biology can illuminate ontological connections between diseases
|
Wang, Guanyu
|
|
2017
|
|
2 |
p. 191-198
|
artikel
|
| 29 |
HiC-3DViewer: a new tool to visualize Hi-C data in 3D space
|
Djekidel, Mohamed Nadhir
|
|
2016
|
|
2 |
p. 183-190
|
artikel
|
| 30 |
Improving conditional random field model for prediction of protein-RNA residue-base contacts
|
Hayashida, Morihiro
|
|
2018
|
|
2 |
p. 155-162
|
artikel
|
| 31 |
International Workshop on Applications of Probability and Statistics to Biology, July 11–13, 2019
|
Deng, Minghua
|
|
|
|
2 |
p. 177-186
|
artikel
|
| 32 |
Large-scale analysis of the position-dependent binding and regulation of human RNA binding proteins
|
Lin, Jianan
|
|
|
|
2 |
p. 119-129
|
artikel
|
| 33 |
Mathematical modeling reveals the mechanisms of feedforward regulation in cell fate decisions in budding yeast
|
Li, Wenlong
|
|
2015
|
|
2 |
p. 55-68
|
artikel
|
| 34 |
Meeting report on RECOMB 2013 (the 17th Annual International Conference on Research in Computational Molecular Biology)
|
Zhang, Xuegong
|
|
2013
|
|
2 |
p. 175-181
|
artikel
|
| 35 |
Meeting report on YBPW 2014 (the 3rd Young Bioinformatics PIs Workshop)
|
Sun, Mengyi
|
|
2014
|
|
2 |
p. 80-84
|
artikel
|
| 36 |
Modeling the specificity of protein-DNA interactions
|
Stormo, Gary D.
|
|
2013
|
|
2 |
p. 115-130
|
artikel
|
| 37 |
MTMO: an efficient network-centric algorithm for subtree counting and enumeration
|
Li, Guanghui
|
|
2018
|
|
2 |
p. 142-154
|
artikel
|
| 38 |
Multiple functional linear model for association analysis of RNA-seq with imaging
|
Jiang, Junhai
|
|
2015
|
|
2 |
p. 90-102
|
artikel
|
| 39 |
Predicting enhancer-promoter interaction from genomic sequence with deep neural networks
|
Singh, Shashank
|
|
2019
|
|
2 |
p. 122-137
|
artikel
|
| 40 |
Predicting microRNA-disease association based on microRNA structural and functional similarity network
|
Ding, Tao
|
|
2019
|
|
2 |
p. 138-146
|
artikel
|
| 41 |
Prediction and differential analysis of RNA secondary structure
|
Yu, Bo
|
|
|
|
2 |
p. 109-118
|
artikel
|
| 42 |
Predictive power of cell-to-cell variability
|
Li, Bochong
|
|
2013
|
|
2 |
p. 131-139
|
artikel
|
| 43 |
Progress in molecular docking
|
Fan, Jiyu
|
|
2019
|
|
2 |
p. 83-89
|
artikel
|
| 44 |
Quantum conformational transition in biological macromolecule
|
Luo, Liaofu
|
|
2016
|
|
2 |
p. 143-158
|
artikel
|
| 45 |
Rapid identification of multi-strain HBV infection in patient by high-throughput DNA sequencing
|
Zheng, Yongchang
|
|
2015
|
|
2 |
p. 103-106
|
artikel
|
| 46 |
Regulation by competition: a hidden layer of gene regulatory network
|
Wei, Lei
|
|
2018
|
|
2 |
p. 110-121
|
artikel
|
| 47 |
Special collection of recent advances in next-generation bioinformatics, part II
|
Zhang, Xuegong
|
|
2016
|
|
2 |
p. 92-93
|
artikel
|
| 48 |
Systems biomedicine: It’s your turn—Recent progress in systems biomedicine
|
Zhang, Zhuqin
|
|
2013
|
|
2 |
p. 140-155
|
artikel
|
| 49 |
Target specificity of the CRISPR-Cas9 system
|
Wu, Xuebing
|
|
2014
|
|
2 |
p. 59-70
|
artikel
|
| 50 |
The 7th National Conference on Bioinformatics and Systems Biology of China
|
Sun, Zhirong
|
|
2017
|
|
2 |
p. 199-201
|
artikel
|
| 51 |
Towards precise reconstruction of gene regulatory networks by data integration
|
Liu, Zhi-Ping
|
|
2018
|
|
2 |
p. 113-128
|
artikel
|
| 52 |
Understanding spatial organizations of chromosomes via statistical analysis of Hi-C data
|
Hu, Ming
|
|
2013
|
|
2 |
p. 156-174
|
artikel
|
| 53 |
Whole genome sequencing and its applications in medical genetics
|
Wu, Jiaxin
|
|
2016
|
|
2 |
p. 115-128
|
artikel
|
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