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Systems Biomedicine is a peer-reviewed journal published by Taylor & Francis, covering Gene expression and cancer classification, Bioinformatics and Genomic Networks, Gene Regulatory Network Analysis.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Systems Biomedicine 12 (3): 45–58.
Formats any DOI in Systems Biomedicine style. No sign-up. |
| Publishes research in | Gene expression and cancer classification Bioinformatics and Genomic Networks Gene Regulatory Network Analysis Computational Drug Discovery Methods RNA modifications and cancer |
| ISSN | 2162-8130 |
| h-index | 13 |
| i10-index | 15 |
| Total citations | 474 |
| Top institutions publishing here | Bar-Ilan University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In this paper, we review the construction, the application, the meaning and the interpretation of the Diseasome network, which enables a systematic connection between the molecular and the phenotype level, and derived models like the human disease network. Further, we are surveying recent conceptual and methodological enhancements that integrate data from diverse sources, e.g., from…
The advent of high-throughput sequencing, coupled with advances in computational methods, has enabled genome-wide dissection of genetics, evolution, and disease, with nucleotide resolution. The discoveries derived from genomics promise benefits to basic research, biotechnology, and medicine; however, the speed and affordability of sequencing has resulted in a flood of “big data” in the life sciences.…
Self-organizing maps (SOM) portray molecular phenotypes with individual resolution. We present an analysis pipeline based on SOM machine learning which allows the comprehensive study of large scale clinical data. The potency of the method is demonstrated in selected applications studying the diversity of gene expression in Glioblastoma Multiforme (GBM) and prostate cancer progression. Our method…
The central nervous system (CNS) is composed of hundreds of distinct cell types, each expressing different subsets of genes from the genome. High throughput gene expression analysis of the CNS from patients and controls is a common method to screen for potentially pathological molecular mechanisms of psychiatric disease. One mechanism by which gene expression might…
The sbv IMPROVER Diagnostic Signature Challenge used crowdsourcing to identify the best methods to classify clinical samples using transcriptomics data. Participating teams used public microarray data sets to develop prediction models in four disease areas, and then made predictions on blinded test data generated by the organizers. Here we describe the approach of the team…
