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

por Mar, Jessica C.
Publicado 2019

Decomposition of Gene Expression State Space Trajectories

por Mar, Jessica C., Quackenbush, John
Publicado 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 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 2020

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

por Mar, Jessica C, Rubio, Renee, Quackenbush, John
Publicado 2006

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

por Kulkarni, Ameya S, Mar, Jessica C, Barzilai, Nir
Publicado 2019

Defining an informativeness metric for clustering gene expression data

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

Investigating skewness to understand gene expression heterogeneity in large patient cohorts

por Church, Benjamin V., Williams, Henry T., Mar, Jessica C.
Publicado 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 2005

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

por Ratnakumar, Abhirami, Weinhold, Nils, Mar, Jessica C., Riaz, Nadeem
Publicado 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 2020

scShapes: a statistical framework for identifying distribution shapes in single-cell RNA-sequencing data

por Dharmaratne, Malindrie, Kulkarni, Ameya S, Taherian Fard, Atefeh, Mar, Jessica C
Publicado 2023

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

por Mar, Jessica C., Matigian, Nicholas A., Quackenbush, John, Wells, Christine A.
Publicado 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 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 2019

Estrogen activates Alzheimer's disease genes

por Ratnakumar, Abhirami, Zimmerman, Samuel E., Jordan, Bryen A., Mar, Jessica C.
Publicado 2019

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 2017

The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data

por de Torrenté, Laurence, Zimmerman, Samuel, Suzuki, Masako, Christopeit, Maximilian, Greally, John M., Mar, Jessica C.
Publicado 2020

Single-Cell Gene Expression Profiles Define Self-Renewing, Pluripotent, and Lineage Primed States of Human Pluripotent Stem Cells

por Hough, Shelley R., Thornton, Matthew, Mason, Elizabeth, Mar, Jessica C., Wells, Christine A., Pera, Martin F.
Publicado 2014

Variability of Gene Expression Identifies Transcriptional Regulators of Early Human Embryonic Development

por Hasegawa, Yu, Taylor, Deanne, Ovchinnikov, Dmitry A., Wolvetang, Ernst J., de Torrenté, Laurence, Mar, Jessica C.
Publicado 2015