User profiles for M.T. Hallett
Mike HallettWestern University Verified email at concordia.ca Cited by 15498 |
[HTML][HTML] Global survey of organ and organelle protein expression in mouse: combined proteomic and transcriptomic profiling
Organs and organelles represent core biological systems in mammals, but the diversity in
protein composition remains unclear. Here, we combine subcellular fractionation with …
protein composition remains unclear. Here, we combine subcellular fractionation with …
Conserved epigenetic sensitivity to early life experience in the rat and human hippocampus
…, A Sasaki, TCT Huang, MT Hallett… - Proceedings of the …, 2012 - National Acad Sciences
Early life experience is associated with long-term effects on behavior and epigenetic
programming of the NR3C1 (GLUCOCORTICOID RECEPTOR) gene in the hippocampus of both …
programming of the NR3C1 (GLUCOCORTICOID RECEPTOR) gene in the hippocampus of both …
[HTML][HTML] Spatially distinct tumor immune microenvironments stratify triple-negative breast cancers
…, A Monette, VM Ramos, MT Hallett… - The Journal of …, 2019 - Am Soc Clin Investig
Understanding the tumor immune microenvironment (TIME) promises to be key for optimal
cancer therapy, especially in triple-negative breast cancer (TNBC). Integrating spatial …
cancer therapy, especially in triple-negative breast cancer (TNBC). Integrating spatial …
Absolute assignment of breast cancer intrinsic molecular subtype
ER Paquet, MT Hallett - Journal of the National Cancer Institute, 2015 - academic.oup.com
Background: Massively parallel gene expression profiling has provided a more objective,
molecular-level characterization of breast cancer subtypes. Several bioinformatics tools are …
molecular-level characterization of breast cancer subtypes. Several bioinformatics tools are …
[HTML][HTML] The Complex Subtype-Dependent Role of Connexin 43 (GJA1) in Breast Cancer
M Busby, MT Hallett, I Plante - International journal of molecular sciences, 2018 - mdpi.com
… Hallett conceived and designed the experiments. Michael T. Hallett provided the access
to breast cancer datasets. Mélanie Busby performed the experiments, analyzed the data and …
to breast cancer datasets. Mélanie Busby performed the experiments, analyzed the data and …
Efficient algorithms for lateral gene transfer problems
MT Hallett, J Lagergren - Proceedings of the fifth annual international …, 2001 - dl.acm.org
This paper develops a model for lateral gene transfer events (aka horizontal gene transfer
events) between a set of gene trees T 1 , T 2 , …, T k and a species tree S. To the best of our …
events) between a set of gene trees T 1 , T 2 , …, T k and a species tree S. To the best of our …
STAT3 establishes an immunosuppressive microenvironment during the early stages of breast carcinogenesis to promote tumor growth and metastasis
Immunosurveillance constitutes the first step of cancer immunoediting in which developing
malignant lesions are eliminated by antitumorigenic immune cells. However, the mechanisms …
malignant lesions are eliminated by antitumorigenic immune cells. However, the mechanisms …
[HTML][HTML] Refining protein subcellular localization
…, SJ Calafell, DY Thomas, MT Hallett - PLoS computational …, 2005 - journals.plos.org
… Michael T Hallett … Michael T Hallett … Scott MS, Thomas DY, Hallett MT (2004)
Predicting subcellular localization via protein motif co-occurrence. Genome Res 14: 1957–1966. …
Predicting subcellular localization via protein motif co-occurrence. Genome Res 14: 1957–1966. …
New algorithms for the duplication-loss model
MT Hallett, J Lagergren - Proceedings of the fourth annual international …, 2000 - dl.acm.org
We consider the problem of constructing a species tree given a number of gene trees. In the
frameworks introduced by Goodman et al. [3], Page [10], and Guigó, Muchnik, and Smith [5] …
frameworks introduced by Goodman et al. [3], Page [10], and Guigó, Muchnik, and Smith [5] …
Predicting subcellular localization via protein motif co-occurrence
The prediction of subcellular localization of proteins from their primary sequence is a challenging
problem in bioinformatics. We have created a Bayesian network localization predictor …
problem in bioinformatics. We have created a Bayesian network localization predictor …