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Author Details
Full Name
Marina Bessarabova
Affiliation
Thomson Reuters Scientific Inc.
ORCID
Career Start Year
2009
Papers
17
H Index
15
Expertise
CM4AI Collaborator
Trey Ideker (CM4AI)
PMID
Paper Title
Journal Title
Published Year
26107615
Development of a Drug-Response Modeling Framework to Identify Cell Line Derived Translational Biomarkers That Can Predict Treatment Outcome to Erlotinib or Sorafenib.
PLoS One
2015
26109056
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.
Genome Biol
2015
24937458
JARID1B is a luminal lineage-driving oncogene in breast cancer.
Cancer Cell
2014
25633159
An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era.
Genome Biol
2014
25150839
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance.
Nat Biotechnol
2014
24817247
An integrated map of HIV-human protein complexes that facilitate viral infection.
PLoS One
2014
23770079
Molecular profiling of human mammary gland links breast cancer risk to a p27(+) cell population with progenitor characteristics.
Cell Stem Cell
2013
23593264
Drug target prediction and repositioning using an integrated network-based approach.
PLoS One
2013
21098291
Altered antisense-to-sense transcript ratios in breast cancer.
Proc Natl Acad Sci U S A
2012
23176192
Knowledge-based analysis of proteomics data.
BMC Bioinformatics
2012
21398405
Functional synergies yet distinct modulators affected by genetic alterations in common human cancers.
Cancer Res
2011
21533021
Epigenetic regulation of cell type-specific expression patterns in the human mammary epithelium.
PLoS Genet
2011
21633165
The JAK2/STAT3 signaling pathway is required for growth of CD44âºCD24â» stem cell-like breast cancer cells in human tumors.
J Clin Invest
2011
20158879
Bimodal gene expression patterns in breast cancer.
BMC Genomics
2010
21045080
Gene expression profiling of human breast tissue samples using SAGE-Seq.
Genome Res
2010
20676069
Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes.
Pharmacogenomics J
2010
19776212
Use of short-term transcriptional profiles to assess the long-term cancer-related safety of environmental and industrial chemicals.
Toxicol Sci
2009
1 - 17 of 17
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