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BMC Systems Biology
Journal Prestige (SJR): 1.109

Citation Impact (citeScore): 2
Number of Followers: 16

This is an Open Access Journal

Open Access journal
ISSN (Print) 1752-0509
Published by BMC (Biomed Central)

[279 journals]

Correction to: A quantitative systems pharmacology (QSP) model for
Pneumocystis treatment in mice
- Authors: Guan-Sheng Liu; Richard Ballweg, Alan Ashbaugh, Yin Zhang, Joseph Facciolo, Melanie T. Cushion Tongli Zhang
  Abstract: It was highlighted that the original article [1] contained errors in the figures and their legends and by extension the in-text figure citations. This Corrections article shows the correct figures and correct ...
  PubDate: 2019-08-12T00:00:00Z
Network-based characterization of drug-protein interaction signatures with
a space-efficient approach
- Authors: Yasuo Tabei; Masaaki Kotera, Ryusuke Sawada Yoshihiro Yamanishi
  Abstract: Characterization of drug-protein interaction networks with biological features has recently become challenging in recent pharmaceutical science toward a better understanding of polypharmacology.
  PubDate: 2019-04-05T00:00:00Z
Ultrafast clustering of single-cell flow cytometry data using FlowGrid
- Authors: Xiaoxin Ye; Joshua W. K. Ho
  Abstract: Flow cytometry is a popular technology for quantitative single-cell profiling of cell surface markers. It enables expression measurement of tens of cell surface protein markers in millions of single cells. It ...
  PubDate: 2019-04-05T00:00:00Z
A fast and efficient count-based matrix factorization method for detecting
cell types from single-cell RNAseq data
- Authors: Shiquan Sun; Yabo Chen, Yang Liu Xuequn Shang
  Abstract: Single-cell RNA sequencing (scRNAseq) data always involves various unwanted variables, which would be able to mask the true signal to identify cell-types. More efficient way of dealing with this issue is to ex...
  PubDate: 2019-04-05T00:00:00Z
Identification of Hürthle cell cancers: solving a clinical challenge with
genomic sequencing and a trio of machine learning algorithms
- Authors: Yangyang Hao; Quan-Yang Duh, Richard T. Kloos, Joshua Babiarz, R. Mack Harrell, S. Thomas Traweek, Su Yeon Kim, Grazyna Fedorowicz, P. Sean Walsh, Peter M. Sadow, Jing Huang Giulia C. Kennedy
  Abstract: Identification of Hürthle cell cancers by non-operative fine-needle aspiration biopsy (FNAB) of thyroid nodules is challenging. Resultingly, non-cancerous Hürthle lesions were conventionally distinguished from...
  PubDate: 2019-04-05T00:00:00Z

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