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BMC Systems Biology, Volume 7 - Supplements
Volume 7, Number S-1, August 2013
- Antti Ylipää
, Olli Yli-Harja, Wei Zhang, Matti Nykter:
Characterization of aberrant pathways across human cancers. S1 - Riku Louhimo, Marko Laakso, Tuomas Heikkinen
, Susanna Laitinen, Pekka Manninen, Vladimir Rogojin, Minna Miettinen, Carl Blomqvist
, Jianjun Liu, Heli Nevanlinna, Sampsa Hautaniemi
:
Identification of genetic markers with synergistic survival effect in cancer. S2 - Antti Häkkinen
, Huy Tran
, Olli Yli-Harja, Brian P. Ingalls, Andre S. Ribeiro
:
Effects of multimerization on the temporal variability of protein complex abundance. S3 - Daniella Schittler, Frank Allgöwer
, Rob J. De Boer:
A new model to simulate and analyze proliferating cell populations in BrdU labeling experiments. S4 - Syeda Hassan
, Muhammad Farhan, Rahul Mangayil
, Heikki Huttunen
, Tommi Aho:
Bioprocess data mining using regularized regression and random forests. S5
Volume 7, Number S-2, October 2013
- Yong Wang, Xiang-Sun Zhang, Luonan Chen:
Computational systems biology in the big data era. S1 - Vladimir Trifonov
, Laura Pasqualucci, Enrico Tiacci, Brunangelo Falini
, Raul Rabadan
:
SAVI: a statistical algorithm for variant frequency identification. S2 - Hao Zhang
, Zhi Li, Yanpu Li, Yuanning Liu, Junxin Liu, Xin Li, Tingjie Shen, Yunna Duan, Minggang Hu, Dong Xu:
A computational method for predicting regulation of human microRNAs on the influenza virus genome. S3 - Junhua Zhang, Shi-Hua Zhang, Yong Wang, Xiang-Sun Zhang:
Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data. S4 - Zhiyuan Yang, Yan Zhang, Luonan Chen:
Investigation of anti-cancer mechanisms by comparative analysis of naked mole rat and rat. S5 - Qiang Huang, Ling-Yun Wu, Xiang-Sun Zhang:
Corbi: a new R package for biological network alignment and querying. S6 - Huayong Xu, Hui Yu, Kang Tu, Qianqian Shi, Chaochun Wei
, Yuan-Yuan Li, Yi-Xue Li:
cGRNB: a web server for building combinatorial gene regulatory networks through integrated engineering of seed-matching sequence information and gene expression datasets. S7 - Yue Deng, Lin Gao, Bingbo Wang:
ppiPre: predicting protein-protein interactions by combining heterogeneous features. S8 - Yangfan Hu, Jinquan Li, Wenying Yan
, Jiajia Chen, Yin Li, Guang Hu
, Bairong Shen
:
Identifying novel glioma associated pathways based on systems biology level meta-analysis. S9 - Jingde Bu, Xuebin Chi, Zhong Jin:
HSA: A Heuristic Splice Alignment Tool. S10 - Juan Liu, Xinghuo Ye, Fang-Xiang Wu
:
Characterizing dynamic regulatory programs in mouse lung development and their potential association with tumourigenesis via miRNA-TF-mRNA circuits. S11 - Fuhai Li, Hua Tan, Jaykrishna Singh, Jian Yang, Xiaofeng Xia, Jiguang Bao, Jinwen Ma, Ming Zhan, Stephen T. C. Wong:
A 3D multiscale model of cancer stem cell in tumor development. S12 - Limin Li, Hao Jiang, Yushan Qiu, Wai-Ki Ching, Vassilios S. Vassiliadis:
Discovery of metabolite biomarkers: flux analysis and reaction-reaction network approach. S13 - Shaoqiang Zhang
, Xiguo Zhou, Chuanbin Du, Zhengchang Su:
SPIC: A novel similarity metric for comparing transcription factor binding site motifs based on information contents. S14 - Morihiro Hayashida, Mayumi Kamada, Jiangning Song
, Tatsuya Akutsu
:
Prediction of protein-RNA residue-base contacts using two-dimensional conditional random field with the lasso. S15
Volume 7, Number S-3, November 2013
- Christian Schönbach
, Bairong Shen
, Tin Wee Tan, Shoba Ranganathan
:
InCoB2013 introduces Systems Biology as a major conference theme. S1 - Chengkun Wu, Jean-Marc Schwartz
, Goran Nenadic:
PathNER: a tool for systematic identification of biological pathway mentions in the literature. S2 - Kenta Yoshida
, Kazuya Maeda, Hiroyuki Kusuhara, Akihiko Konagaya:
Estimation of feasible solution space using Cluster Newton Method: application to pharmacokinetic analysis of irinotecan with physiologically-based pharmacokinetic models. S3 - Minho Lee
, Keunwan Park, Dongsup Kim:
Interaction network among functional drug groups. S4 - Haijun Gong
:
Analysis of intercellular signal transduction in the tumor microenvironment. S5 - Yifei Tang, Wenying Yan
, Jiajia Chen, Cheng Luo, Antti Kaipia, Bairong Shen
:
Identification of novel microRNA regulatory pathways associated with heterogeneous prostate cancer. S6 - Pramote Chumnanpuen
, Intawat Nookaew, Jens Nielsen
:
Integrated analysis, transcriptome-lipidome, reveals the effects of INO-level (INO2 and INO4) on lipid metabolism in yeast. S7 - Dokyoon Kim, Hyunjung Shin, Je-Gun Joung, Su-Yeon Lee, Ju Han Kim:
Intra-relation reconstruction from inter-relation: miRNA to gene expression. S8 - Zuoshuang Xiang, Tingting Qin, Zhaohui S. Qin
, Yongqun He
:
A genome-wide MeSH-based literature mining system predicts implicit gene-to-gene relationships and networks. S9 - Yosvany López
, Ashwini Patil
, Kenta Nakai:
Identification of novel motif patterns to decipher the promoter architecture of co-expressed genes in Arabidopsis thaliana. S10 - Arsen O. Batagov, Aliaksandr A. Yarmishyn, Piroon Jenjaroenpun, Jovina Z. Tan, Yuichiro Nishida, Igor Kurochkin
:
Role of genomic architecture in the expression dynamics of long noncoding RNAs during differentiation of human neuroblastoma cells. S11
Volume 7, Number S-4, October 2013
- Yuanzhe Bei, Pengyu Hong
:
A novel approach to minimize false discovery rate in genome-wide data analysis. S1 - Jie Cheng, Joel Greshock, Leming Shi, Shu Zheng, Alan Menius, Kwan Lee:
Good practice guidelines for biomarker discovery from array data: a case study for breast cancer prognosis. S2 - Md Mahmudul Hasan, Yusuf Kavurucu, Tamer Kahveci:
A scalable method for discovering significant subnetworks. S3 - Xingchi Hu, Chuang Ma
, Yanhong Zhou:
A novel two-layer SVM model in miRNA Drosha processing site detection. S4 - Jingyao Li, Dongdong Lin, Hongbao Cao, Yu-Ping Wang:
An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification. S5 - Yifeng Li, Alioune Ngom:
Sparse representation approaches for the classification of high-dimensional biological data. S6 - Vance Chiang-Chi Liao, Ming-Syan Chen
:
Efficient mining gapped sequential patterns for motifs in biological sequences. S7 - Luis D. Lopez, Jingyi Yu, Cecilia N. Arighi
, Catalina O. Tudor, Manabu Torii
, Hongzhan Huang, K. Vijay-Shanker, Cathy H. Wu
:
A framework for biomedical figure segmentation towards image-based document retrieval. S8 - Ran Qi, Dengyuan Wu, Li Sheng, Donald Henson, Arnold M. Schwartz, Eric Xu, Kai Xing, Dechang Chen:
On an ensemble algorithm for clustering cancer patient data. S9 - Rehman Qureshi, Ahmet Sacan:
Weighted set enrichment of gene expression data. S10 - Zeehasham Rasheed, Huzefa Rangwala, Daniel Barbará:
16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing. S11 - Jun Ren, Jianxin Wang, Min Li, Lusheng Wang
:
Identifying protein complexes based on density and modularity in protein-protein interaction network. S12 - Lei Shang, David P. Gardner, Weijia Xu, Jamie J. Cannone, Daniel P. Miranker, Stuart Ozer, Robin Ray Gutell
:
Two accurate sequence, structure, and phylogenetic template-based RNA alignment systems. S13 - Qianqian Wu, Kate Smith-Miles
, Tianshou Zhou, Tianhai Tian
:
Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model. S14
Volume 7, Number S-5, December 2013
- Akshata R. Udyavar, Megan D. Hoeksema, Jonathan E. Clark, Yong Zou, Zuojian Tang, Zhiguo Li, Ming Li
, Heidi Chen, Alexander R. Statnikov, Yu Shyr
, Daniel C. Liebler
, John K. Field
, Rosana Eisenberg, Lourdes Estrada
, Pierre P. Massion, Vito Quaranta:
Co-expression network analysis identifies Spleen Tyrosine Kinase (SYK) as a candidate oncogenic driver in a subset of small-cell lung cancer. S1 - Hui Yu, Chen-Ching Lin, Yuan-Yuan Li, Zhongming Zhao:
Dynamic protein interaction modules in human hepatocellular carcinoma progression. S2 - William T. Budd, Sarah Seashols
, Danielle Weaver, Cyriac Joseph, Zendra E. Zehner:
A networks method for ranking microRNA dysregulation in cancer. S3 - Xu Shi
, Jinghua Gu, Xi Chen, Ayesha N. Shajahan, Leena Hilakivi-Clarke, Robert Clarke
, Jianhua Xuan:
mAPC-GibbsOS: an integrated approach for robust identification of gene regulatory networks. S4 - Chifeng Ma, Hung-I Harry Chen, Mario Flores
, Yufei Huang, Yidong Chen:
BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database. S5 - Chao Wu, Ranga Chandra Gudivada, Bruce J. Aronow, Anil G. Jegga
:
Computational drug repositioning through heterogeneous network clustering. S6 - Qi Liu, Shilin Zhao, Pei-Fang Su, Shyr Yu
:
Gene and isoform expression signatures associated with tumor stage in kidney renal clear cell carcinoma. S7 - Fan Zhang, Mu Wang, Tran Michael, Renee Drabier:
Novel alternative splicing isoform biomarkers identification from high-throughput plasma proteomics profiling of breast cancer. S8 - Jing Wang, Dabing Zhang, Jing Li:
PREAL: prediction of allergenic protein by maximum Relevance Minimum Redundancy (mRMR) feature selection. S9 - Vicky Wang, Li Xi, Ahmed Enayetallah, Eric Fauman
, Daniel Ziemek:
GeneTopics - interpretation of gene sets via literature-driven topic models. S10
Volume 7, Number S-6, December 2013
- Frank Eisenhaber
, Wing-Kin Sung
, Limsoon Wong
:
International Conference on Genome Informatics (GIW 2013) in Singapore: introduction to the systems biology contributions. I1 - Zhongyuan Tian
, Adrien Fauré, Hirotada Mori, Hiroshi Matsuno:
Identification of key regulators in glycogen utilization in E. coli based on the simulations from a hybrid functional Petri net model. S1 - Masaaki Kotera, Yasuo Tabei, Yoshihiro Yamanishi, Yuki Moriya
, Toshiaki Tokimatsu
, Minoru Kanehisa, Susumu Goto:
KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics. S2 - Yasuo Tabei, Yoshihiro Yamanishi:
Scalable prediction of compound-protein interactions using minwise hashing. S3 - Masahiko Nakatsui, Michihiro Araki, Akihiko Kondo
:
An approach for dynamical network reconstruction of simple network motifs. S4 - Florian Goebels, Dmitrij Frishman:
Prediction of protein interaction types based on sequence and network features. S5 - Hufeng Zhou, Javad Rezaei, Hugo Willy
, Shangzhi Gao, Jingjing Jin, Mengyuan Fan, Chern Han Yong, Michal Wozniak, Limsoon Wong
:
Stringent DDI-based Prediction of H. sapiens-M. tuberculosis H37Rv Protein-Protein Interactions. S6 - Yi-Min Chen, Chun-Hui Yu, Chi-Chuan Hwang, Tsunglin Liu:
OMACC: an Optical-Map-Assisted Contig Connector for improving de novo genome assembly. S7 - Takahiro Mimori, Naoki Nariai, Kaname Kojima, Mamoru Takahashi, Akira Ono, Yukuto Sato, Yumi Yamaguchi-Kabata, Masao Nagasaki
:
iSVP: an integrated structural variant calling pipeline from high-throughput sequencing data. S8 - Kyung-Ah Sohn, Dokyoon Kim, Jaehyun Lim, Ju Han Kim:
Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors. S9 - Wan-Shu Cheng, Jung-Hsien Chiang
:
CGPredictor: a systematic integrated analytic tool for mining and examining genome-scale cancer independent prognostic epigenetic marker panels. S10 - Hsiuying Wang
, Chia-Chun Chiu, Yi-Ching Wu, Wei-Sheng Wu:
Shrinkage regression-based methods for microarray missing value imputation. S11 - Chia-Chun Chiu, Shih-Yao Chan, Chung-Ching Wang, Wei-Sheng Wu:
Missing value imputation for microarray data: a comprehensive comparison study and a web tool. S12 - Tzu-Hsien Yang
, Wei-Sheng Wu:
Inferring functional transcription factor-gene binding pairs by integrating transcription factor binding data with transcription factor knockout data. S13 - Chasanah Kusumastuti Widita, Osamu Maruyama:
PPSampler2: Predicting protein complexes more accurately and efficiently by sampling. S14 - Jiin Choi, Taesung Park:
Multivariate generalized multifactor dimensionality reduction to detect gene-gene interactions. S15 - Agnieszka Podsiadlo, Mariusz Wrzesien, Wieslaw Paja
, Witold R. Rudnicki
, Bartek Wilczynski
:
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data. S16 - Oliver L. Tessmer, Yuhua Jiao, Jeffrey A. Cruz, David M. Kramer, Jin Chen:
Functional approach to high-throughput plant growth analysis. S17 - Hiroaki Iwata, Sayaka Mizutani, Yasuo Tabei, Masaaki Kotera, Susumu Goto, Yoshihiro Yamanishi:
Inferring protein domains associated with drug side effects based on drug-target interaction network. S18
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