M. Bessarabova

发表

Drug Target Prediction and Repositioning Using an Integrated Network-Based Approach

Alexander E. Ivliev, Y. Nikolsky, S. Bureeva, 2013, PloS one.

Use of short-term transcriptional profiles to assess the long-term cancer-related safety of environmental and industrial chemicals.

T. Nikolskaya, Y. Nikolsky, W. Bao, 2009, Toxicological sciences : an official journal of the Society of Toxicology.

Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

May D. Wang, Wenwei Zhang, Simon M Lin, 2015, Genome Biology.

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

David P. Kreil, Paweł P. Łabaj, C. Furlanello, 2014, Nature Biotechnology.

A comprehensive study design reveals treatment-and transcript abundance – dependent concordance between RNA-seq and microarray data

David P. Kreil, Paweł P. Łabaj, Dalila, 2014 .

An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era

Weida Tong, Huixiao Hong, Leming Shi, 2014, Genome Biology.

Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes

C. Furlanello, Giuseppe Jurman, T. Nikolskaya, 2010, The Pharmacogenomics Journal.

Bimodal gene expression patterns in breast cancer

Weiwei Shi, Tatiana Nikolskaya, Andrej Bugrim, 2010, BMC Genomics.

Functional synergies yet distinct modulators affected by genetic alterations in common human cancers.

Weiwei Shi, Tatiana Nikolskaya, Yuri Nikolsky, 2011, Cancer research.

SAGE-Seq Gene expression profiling of human breast tissue samples using Material

Clifford A. Meyer, Jun S. Liu, X. Liu, 2010 .

Gene expression profiling of human breast tissue samples using SAGE-Seq.

Clifford A. Meyer, Jun S. Liu, Armin Schwartzman, 2010, Genome research.

Systems-Based Analyses of Brain Regions Functionally Impacted in Parkinson's Disease Reveals Underlying Causal Mechanisms

Alexander E. Ivliev, J. Langston, G. Halliday, 2014, PloS one.

Pathways and Networks as Functional Descriptors for Human Disease and Drug Response Endpoints

T. Nikolskaya, Y. Nikolsky, Z. Dezső, 2011 .

Molecular profiling of human mammary gland links breast cancer risk to a p27(+) cell population with progenitor characteristics.

Gedge D. Rosson, M. Pike, I. Haviv, 2013, Cell stem cell.

Parity and BRCA1/2-associated breast cancer risk linked to hormone-responsive p27 + luminal epithelial progenitors

Stuart, Pedram, Gedge, 2018 .

An Integrated Map of HIV-Human Protein Complexes that Facilitate Viral Infection

Kevin C. Olivieri, John A. Young, S. Chanda, 2014, PloS one.

JARID1B is a luminal lineage-driving oncogene in breast cancer.

Carlos Caldas, Charles J. Vaske, Hanfei Sun, 2014, Cancer cell.

The JAK2/STAT3 signaling pathway is required for growth of CD44⁺CD24⁻ stem cell-like breast cancer cells in human tumors.

Mithat Gönen, Tatiana Nikolskaya, Yuri Nikolsky, 2011, The Journal of clinical investigation.

Epigenetic Regulation of Cell Type–Specific Expression Patterns in the Human Mammary Epithelium

I. Haviv, X. Liu, T. Nikolskaya, 2011, PLoS genetics.

Development of a Drug-Response Modeling Framework to Identify Cell Line Derived Translational Biomarkers That Can Predict Treatment Outcome to Erlotinib or Sorafenib

Yuri Nikolsky, Bin Li, William L. Trepicchio, 2015, PloS one.

Global OMICs Profiling and Functional Analysis of CD44+/CD24− Stem-Like Cells in Normal Human Breast Tissue and Breast Cancer

Y. Nikolsky, K. Polyak, M. Bessarabova, 2012 .

An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era

Wenwei Zhang, Yanyan Zhang, Leming Shi, 2014, Genome Biology.

Altered antisense-to-sense transcript ratios in breast cancer

A. Protopopov, Jun Yao, X. Liu, 2010, Proceedings of the National Academy of Sciences.

Supplementary File 12

A. N. Gur'yanov, Giuseppe Jurman, Tieliu Shi, 2010 .

Knowledge-based analysis of proteomics data

Yuri Nikolsky, Tatiana Nikolskaya, Marina Bessarabova, 2012, BMC Bioinformatics.

The Tale of Underlying Biology: Functional Analysis of Multivariant Gene Classifiers (Gene Signatures) in the MAQCII Project

Tatiana Nikolskaya, Yuri Nikolsky, T. Nikolskaya, 2014 .

Knowledge-based analysis of proteomics data

T. Nikolskaya, Y. Nikolsky, M. Bessarabova, 2012, BMC Bioinformatics.