The rise of the distributions: why non-normality is important for understanding the transcriptome and beyond

Por Mar, Jessica C.
Publicado no Biophys Rev (2019)

Decomposition of Gene Expression State Space Trajectories

Por Mar, Jessica C., Quackenbush, John
Publicado em 2009

Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data

Por Chen, Shuonan, Mar, Jessica C.
Publicado no BMC Bioinformatics (2018)

Investigating transcriptome-wide sex dimorphism by multi-level analysis of single-cell RNA sequencing data in ten mouse cell types

Por Lu, Tianyuan, Mar, Jessica C.
Publicado no Biol Sex Differ (2020)

Inferring steady state single-cell gene expression distributions from analysis of mesoscopic samples

Por Mar, Jessica C, Rubio, Renee, Quackenbush, John
Publicado em 2006

INVESTIGATING DYNAMICS OF AGE-ASSOCIATED TRANSCRIPTIONAL NETWORKS WITH INTERVENTIONS TARGETING AGING

Por Kulkarni, Ameya S, Mar, Jessica C, Barzilai, Nir
Publicado no Innov Aging (2019)

Defining an informativeness metric for clustering gene expression data

Por Mar, Jessica C., Wells, Christine A., Quackenbush, John
Publicado em 2011

Investigating skewness to understand gene expression heterogeneity in large patient cohorts

Por Church, Benjamin V., Williams, Henry T., Mar, Jessica C.
Publicado no BMC Bioinformatics (2019)

Bayesian and maximum likelihood phylogenetic analyses of protein sequence data under relative branch-length differences and model violation

Por Mar, Jessica C, Harlow, Timothy J, Ragan, Mark A
Publicado em 2005

Protein-Protein interactions uncover candidate ‘core genes’ within omnigenic disease networks

Por Ratnakumar, Abhirami, Weinhold, Nils, Mar, Jessica C., Riaz, Nadeem
Publicado no PLoS Genet (2020)

Identification of a novel subgroup of endometrial cancer patients with loss of thyroid hormone receptor beta expression and improved survival

Por Piqué, Daniel G., Greally, John M., Mar, Jessica C.
Publicado no BMC Cancer (2020)

HPV16 E7 oncogene expression in normal human epithelial cells causes molecular changes indicative of an epithelial to mesenchymal transition

Por Hellner, Karin, Mar, Jessica, Fang, Frank, Quackenbush, John, Münger, Karl
Publicado em 2009

Single-cell transcriptogenomics reveals transcriptional exclusion of ENU-mutated alleles

Por Li, Wenge, Calder, R. Brent, Mar, Jessica C., Vijg, Jan
Publicado no Mutat Res (2015)

attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes

Por Mar, Jessica C., Matigian, Nicholas A., Quackenbush, John, Wells, Christine A.
Publicado em 2011

Not just a colourful metaphor: modelling the landscape of cellular development using Hopfield networks

Por Fard, Atefeh Taherian, Srihari, Sriganesh, Mar, Jessica C, Ragan, Mark A
Publicado no NPJ Syst Biol Appl (2016)

A novel approach to modelling transcriptional heterogeneity identifies the oncogene candidate CBX2 in invasive breast carcinoma

Por Piqué, Daniel G., Montagna, Cristina, Greally, John M., Mar, Jessica C.
Publicado no Br J Cancer (2019)

Estrogen activates Alzheimer's disease genes

Por Ratnakumar, Abhirami, Zimmerman, Samuel E., Jordan, Bryen A., Mar, Jessica C.
Publicado no Alzheimers Dement (N Y) (2019)

Weight Management in Patients with Type 1 Diabetes and Obesity

Por Mottalib, Adham, Kasetty, Megan, Mar, Jessica Y., Elseaidy, Taha, Ashrafzadeh, Sahar, Hamdy, Osama
Publicado no Curr Diab Rep (2017)

pathVar: a new method for pathway-based interpretation of gene expression variability

Por de Torrente, Laurence, Zimmerman, Samuel, Taylor, Deanne, Hasegawa, Yu, Wells, Christine A., Mar, Jessica C.
Publicado no PeerJ (2017)

Stem cell factor is selectively secreted by arterial endothelial cells in bone marrow

Por Xu, Chunliang, Gao, Xin, Wei, Qiaozhi, Nakahara, Fumio, Zimmerman, Samuel E., Mar, Jessica, Frenette, Paul S.
Publicado no Nat Commun (2018)