Svitlana Tyekucheva

A Macaque's-Eye View of Human Insertions and Deletions: Differences in Mechanisms

Kateryna D. Makova, Francesca Chiaromonte, Erika M. Kvikstad, 2007, PLoS Comput. Biol..

Logistic push: a regression framework for partial AUC optimization

Giovanni Parmigiani, Svitlana Tyekucheva, Travis Gerke, 2016, 1606.06562.

curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome

Benjamin Haibe-Kains, Giovanni Parmigiani, Curtis Huttenhower, 2013, Database J. Biol. Databases Curation.

A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables

Svitlana Tyekucheva, George L Mutter, David J Papke, 2019, International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists.

Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration

Wei Lu, Jeffrey S. Morris, Bo Li, 2017, bioRxiv.

Computational Reconstruction of NFκB Pathway Interaction Mechanisms during Prostate Cancer

Xiaodong Wang, Curtis Huttenhower, Daniela Börnigen, 2016, PLoS Comput. Biol..

Strong and weak male mutation bias at different sites in the primate genomes: insights from the human-chimpanzee comparison.

Francesca Chiaromonte, Svitlana Tyekucheva, Kateryna D Makova, 2006, Molecular biology and evolution.

ESPERR: learning strong and weak signals in genomic sequence alignments to identify functional elements.

Francesca Chiaromonte, Webb Miller, Ross C Hardison, 2006, Genome research.

Establishing the baseline level of repetitive element expression in the human cortex

Svitlana Tyekucheva, Sarven Sabunciyan, W Richard McCombie, 2011, BMC Genomics.

Modeling genetic heterogeneity of drug response and resistance in cancer.

James C. Costello, Svitlana Tyekucheva, Teemu D. Laajala, 2019, Current opinion in systems biology.

Augmenting the bootstrap to analyze high dimensional genomic data

Francesca Chiaromonte, Svitlana Tyekucheva, S. Tyekucheva, 2008 .

Association of Prostate Cancer Risk Variants with Gene Expression in Normal and Tumor Tissue

Peter Kraft, Matthew L. Freedman, Meir J. Stampfer, 2014, Cancer Epidemiology, Biomarkers & Prevention.

Integrating diverse genomic data using gene sets

Giovanni Parmigiani, Luigi Marchionni, Rachel Karchin, 2011, Genome Biology.