Preface
Statistical and bioinformatics applications in biomedical omics research
Translational Cancer Research
2014;
3
(3)
:180-181
.
(20 June 2014)
Review Article
Sparse principal component analysis in cancer research
Translational Cancer Research
2014;
3
(3)
:182-190
.
(20 June 2014)
Artificial neural networks in the cancer genomics frontier
Translational Cancer Research
2014;
3
(3)
:191-201
.
(20 June 2014)
Integrative clustering methods for high-dimensional molecular data
Translational Cancer Research
2014;
3
(3)
:202-216
.
(20 June 2014)
Original Article
A recursively partitioned mixture model for clustering time-course gene expression data
Translational Cancer Research
2014;
3
(3)
:217-232
.
(20 June 2014)
Identification of cancer mechanisms through computational systems modeling
Translational Cancer Research
2014;
3
(3)
:233-242
.
(20 June 2014)
Review Article
An improved understanding of cancer genomics through massively parallel sequencing
Translational Cancer Research
2014;
3
(3)
:243-259
.
(20 June 2014)
Original Article
Statistical strategies for microRNAseq batch effect reduction
Translational Cancer Research
2014;
3
(3)
:260-265
.
(20 June 2014)
Review Article
Computational methods and opportunities for phosphorylation network medicine
Translational Cancer Research
2014;
3
(3)
:266-278
.
(20 June 2014)
Biomarker adaptive designs in clinical trials
Translational Cancer Research
2014;
3
(3)
:279-292
.
(20 June 2014)
Meeting Report
Harnessing the immune system to cure cancer
Translational Cancer Research
2014;
3
(3)
:E1-E4
.
(20 June 2014)
Disclosure:
The focused issue “Statistical and Bioinformatics Applications in Biomedical Omics Research” was commissioned by the editorial office, Translational Cancer Research without any sponsorship or funding. Dung-Tsa Chen and Yian Ann Chen served as the unpaid Guest Editors for the focused issue.
