BMC Systems Biology
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2051

(FIVE YEARS 40)

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82

(FIVE YEARS 7)

Published By Springer (Biomed Central Ltd.)

1752-0509, 1752-0509

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Correction to: A quantitative systems pharmacology (QSP) model for Pneumocystis treatment in mice

BMC Systems Biology ◽

10.1186/s12918-019-0708-9 ◽

2019 ◽

Vol 13 (1) ◽

Author(s):

Guan-Sheng Liu ◽

Richard Ballweg ◽

Alan Ashbaugh ◽

Yin Zhang ◽

Joseph Facciolo ◽

...

Keyword(s):

Systems Pharmacology ◽

Quantitative Systems Pharmacology

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FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs

BMC Systems Biology ◽

10.1186/s12918-019-0696-9 ◽

2019 ◽

Vol 13 (S2) ◽

Author(s):

Xiaoying Li ◽

Yaping Lin ◽

Changlong Gu ◽

Jialiang Yang

Keyword(s):

Prediction Accuracy ◽

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Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO

BMC Systems Biology ◽

10.1186/s12918-019-0697-8 ◽

2019 ◽

Vol 13 (S2) ◽

Author(s):

Hansheng Xue ◽

Jiajie Peng ◽

Xuequn Shang

Keyword(s):

Similarity Measurement ◽

Phenotype Similarity

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Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks

BMC Systems Biology ◽

10.1186/s12918-019-0695-x ◽

2019 ◽

Vol 13 (S2) ◽

Author(s):

Wenting Liu ◽

Jagath C. Rajapakse

Keyword(s):

Gene Regulatory Networks ◽

Protein Interactions ◽

Regulatory Networks ◽

Protein Protein Interactions ◽

Gene Expressions ◽

Gene Regulatory

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GNE: a deep learning framework for gene network inference by aggregating biological information

BMC Systems Biology ◽

10.1186/s12918-019-0694-y ◽

2019 ◽

Vol 13 (S2) ◽

Author(s):

Kishan KC ◽

Rui Li ◽

Feng Cui ◽

Qi Yu ◽

Anne R. Haake

Keyword(s):

Deep Learning ◽

Gene Network ◽

Network Inference ◽

Biological Information ◽

Learning Framework ◽

Gene Network Inference

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Boolean network modeling of β-cell apoptosis and insulin resistance in type 2 diabetes mellitus

BMC Systems Biology ◽

10.1186/s12918-019-0692-0 ◽

2019 ◽

Vol 13 (S2) ◽

Author(s):

Pritha Dutta ◽

Lichun Ma ◽

Yusuf Ali ◽

Peter M.A. Sloot ◽

Jie Zheng

Keyword(s):

Diabetes Mellitus ◽

Insulin Resistance ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cell Apoptosis ◽

Boolean Network ◽

Network Modeling ◽

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A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data

BMC Systems Biology ◽

10.1186/s12918-019-0699-6 ◽

2019 ◽

Vol 13 (S2) ◽

Author(s):

Shiquan Sun ◽

Yabo Chen ◽

Yang Liu ◽

Xuequn Shang

Keyword(s):

Single Cell ◽

Matrix Factorization ◽

Factorization Method ◽

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Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms

BMC Systems Biology ◽

10.1186/s12918-019-0693-z ◽

2019 ◽

Vol 13 (S2) ◽

Author(s):

Yangyang Hao ◽

Quan-Yang Duh ◽

Richard T. Kloos ◽

Joshua Babiarz ◽

R. Mack Harrell ◽

...

Keyword(s):

Machine Learning ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Genomic Sequencing ◽

Hürthle Cell ◽

Clinical Challenge

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Network-based characterization of drug-protein interaction signatures with a space-efficient approach

BMC Systems Biology ◽

10.1186/s12918-019-0691-1 ◽

2019 ◽

Vol 13 (S2) ◽

Author(s):

Yasuo Tabei ◽

Masaaki Kotera ◽

Ryusuke Sawada ◽

Yoshihiro Yamanishi

Keyword(s):

Protein Interaction ◽

Efficient Approach

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Ultrafast clustering of single-cell flow cytometry data using FlowGrid

BMC Systems Biology ◽

10.1186/s12918-019-0690-2 ◽

2019 ◽

Vol 13 (S2) ◽

Author(s):

Xiaoxin Ye ◽

Joshua W. K. Ho

Keyword(s):

Flow Cytometry ◽

Single Cell ◽

Flow Cytometry Data ◽

Cell Flow Cytometry

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