S. Jensen

发表

Urban vibrancy and safety in Philadelphia

Dylan S. Small, Shane T. Jensen, Colman Humphrey, 2017, Environment and Planning B: Urban Analytics and City Science.

The Program of Gene Transcription for a Single Differentiating Cell Type during Sporulation in Bacillus subtilis

Shane T. Jensen, Shane T Jensen, Jun S. Liu, 2004, PLoS biology.

The Spo0A regulon of Bacillus subtilis

Shane T. Jensen, Shane T Jensen, Patrick Eichenberger, 2003, Molecular microbiology.

Statistical Techniques for Examining Gene

Shane T. Jensen, Shane T. Jensen, S. Jensen, 2004 .

LEAFY target genes reveal floral regulatory logic, cis motifs, and a link to biotic stimulus response.

Shane T. Jensen, Hongzhe Li, D. Wagner, 2011, Developmental cell.

PFP: A Computational Framework for Phylogenetic Footprinting in Prokaryotic Genomes

Ying Xu, Dongsheng Che, Shane T. Jensen, 2008, ISBRA.

GAME: detecting cis-regulatory elements using a genetic algorithm

Zhi Wei, Shane T. Jensen, Zhi Wei, 2006, Bioinform..

BEST: Binding-site Estimation Suite of Tools

Liming Cai, Dongsheng Che, Shane T. Jensen, 2005, Bioinform..

BioOptimizer: a Bayesian scoring function approach to motif discovery

Shane T. Jensen, Jun S. Liu, S. Jensen, 2004, Bioinform..

Computational Discovery of Gene Regulatory Binding Motifs: A Bayesian Perspective

Shane T. Jensen, Jun S. Liu, X. Shirley Liu, 2004 .

The sigmaE regulon and the identification of additional sporulation genes in Bacillus subtilis.

Shane T. Jensen, Shane T Jensen, Jun S. Liu, 2003, Journal of molecular biology.

Sequence analysis BEST : Binding-site Estimation Suite of Tools

Jun S. Liu, Liming Cai, Dongsheng Che, 2005 .

Combining phylogenetic motif discovery and motif clustering to predict co-regulated genes

J. Liu, Lei Shen, S. Jensen, 2005 .

Bioinformatics Original Paper Game: Detecting Cis-regulatory Elements Using a Genetic Algorithm

X. S. Liu, Zhi Wei, Q. Zhou, 2022 .

Bayesian Clustering of Transcription Factor Binding Motifs

Shane T. Jensen, Shane T Jensen, Jun S. Liu, 2006, math/0610655.

MicroRNA promoter element discovery in Arabidopsis.

Shane T. Jensen, A. Hatzigeorgiou, M. Megraw, 2006, RNA.

Probabilistic Approach for Evaluating Metabolite Sample Integrity

Shane T. Jensen, A. Weljie, Barry Slaff, 2015, 1506.04443.

Potential Mechanisms for Cancer Resistance in Elephants and Comparative Cellular Response to DNA Damage in Humans.

Shane T. Jensen, P. Waddell, C. Maley, 2015, JAMA.

The Msi Family of RNA-Binding Proteins Function Redundantly as Intestinal Oncoproteins.

Shane T. Jensen, Angela Nakauka-Ddamba, C. Lengner, 2015, Cell reports.

Bayesian Spatial Clustering of Crime in Philadelphia with Particle Optimization

Sameer K. Deshpande, Shane T. Jensen, E. George, 2019 .

Clustering of genes into regulons using integrated modeling-COGRIM

Christian J Stoeckert, Shane T. Jensen, Shane T Jensen, 2007, Genome Biology.

Variable selection for BART: An application to gene regulation

Edward I. George, Shane T. Jensen, Adam Kapelner, 2013, 1310.4887.

The effects of vacant lot greening and the impact of land use and business presence on crime

Shane T. Jensen, Jesse Cui, John Macdonald, 2020, Environment and Planning B: Urban Analytics and City Science.

Dinosaur Peptides Suggest Mechanisms of Protein Survival

Shane T. Jensen, R. Kalluri, M. Buckley, 2011, PloS one.

Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis

Shane T. Jensen, S. Hannenhalli, L. Everett, 2011, Nucleic acids research.

Characterization of the bout durations of sleep and wakefulness

Shane T. Jensen, Abraham J. Wyner, Allan I. Pack, 2010, Journal of Neuroscience Methods.

Mapping structural landmarks, ligand binding sites, and missense mutations to the collagen IV heterotrimers predicts major functional domains, novel interactions, and variation in phenotypes in inherited diseases affecting basement membranes

Shane T. Jensen, J. Savige, B. Hudson, 2011, Human mutation.

Quantitative phosphoproteomics reveals extensive cellular reprogramming during HIV-1 entry.

Shane T. Jensen, Shane T Jensen, Frederic D Bushman, 2013, Cell host & microbe.

Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees pdf

Timothy D. Solberg, Eric Eaton, Lyle H. Ungar, 2017, ArXiv.

Semiparametric Bayesian Modeling of Income Volatility Heterogeneity

Shane T. Jensen, S. Shore, Stephen H. Shore, 2011 .

Changes in the Distribution of Income Volatility

Shane T. Jensen, S. Shore, S. Jensen, 2008, 0808.1090.

Deciphering the combinatorial landscape of immunity

Shane T. Jensen, Boris M. Hartmann, S. Sealfon, 2020, eLife.

Deciphering the combinatorial interaction landscape

Antonio Cappuccio, Shane T. Jensen, Stuart C. Sealfon, 2019, bioRxiv.

Reducing crime by remediating vacant lots: the moderating effect of nearby land uses

Shane T. Jensen, C. Branas, J. Macdonald, 2021, Journal of experimental criminology.

Community vibrancy and its relationship with safety in Philadelphia

Shane T Jensen, Wichinpong Park Sinchaisri, W. Sinchaisri, 2020, PloS one.

The collαgen III fibril has a “flexi-rod” structure of flexible sequences interspersed with rigid bioactive domains including two with hemostatic roles

Shane T. Jensen, R. Dalgleish, X. Jeunemaître, 2017, PloS one.

Building more accurate decision trees with the additive tree

Eric Eaton, Gilmer Valdes, Shane T. Jensen, 2019, Proceedings of the National Academy of Sciences.

Macromolecule biosynthesis: a key function of sleep.

Shane T. Jensen, Shane T Jensen, Keith R Shockley, 2007, Physiological genomics.

Switching between raltegravir resistance pathways analyzed by deep sequencing

Richard L. Hodinka, Shane T. Jensen, Kyle Bittinger, 2011, AIDS.

Competing Process Hazard Function Models for Player Ratings in Ice Hockey

A. C. Thomas, Samuel L. Ventura, Shane Jensen, 2012, 1208.0799.

Msi RNA-binding proteins control reserve intestinal stem cell quiescence

Shane T. Jensen, Angela Nakauka-Ddamba, C. Lengner, 2016, The Journal of cell biology.

Systems biology-defined NF-κB regulons, interacting signal pathways and networks are implicated in the malignant phenotype of head and neck cancer cell lines differing in p53 status

Christian J Stoeckert, Shane T. Jensen, Shane T Jensen, 2008, Genome Biology.

Oxidation of CO and H2 by O2 and N2O on Au/TiO2 catalysts in microreactors

Shane T. Jensen, T. Jiang, D. Mowbray, 2008 .

Cis-regulatory modules in the mammalian liver: composition depends on strength of Foxa2 consensus site

Shane T. Jensen, Klaus H. Kaestner, Geetu Tuteja, 2008, Nucleic acids research.

Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

Yannet Interian, Gilmer Valdes, Shane T. Jensen, 2018, International journal of radiation oncology, biology, physics.

Power Weighted Densities for Time Series Data

Shane T. Jensen, Shane T. Jensen, Daniel M. McCarthy, 2014, 1412.4059.

An Interaction-Dependent Model for Transcription Factor Binding

Sridhar Hannenhalli, Shane T. Jensen, Li-San Wang, 2005, Systems Biology and Regulatory Genomics.

A transcription factor affinity-based code for mammalian transcription initiation.

Shane T. Jensen, Fernando C Pereira, A. Hatzigeorgiou, 2009, Genome research.

Title Systems biology-defined NF-κ B regulons , interacting signal pathways and networks are implicated in the malignant phenotype of head and neck cancer cell lines differing in p 53 status

Shane T. Jensen, C. Stoeckert, K. Saigal, 2015 .

Mouse Label-Retaining Cells Are Molecularly and Functionally Distinct From Reserve Intestinal Stem Cells.

Shane T. Jensen, Angela Nakauka-Ddamba, C. Lengner, 2016, Gastroenterology.

Heterogeneity in readouts of canonical wnt pathway activity within intestinal crypts

Shane T. Jensen, Angela Nakauka-Ddamba, J. Tobias, 2016, Developmental dynamics : an official publication of the American Association of Anatomists.

Single-Cell Analysis of Proxy Reporter Allele-Marked Epithelial Cells Establishes Intestinal Stem Cell Hierarchy

Shane T. Jensen, Angela Nakauka-Ddamba, C. Lengner, 2014, Stem cell reports.

transcription initiation A transcription factor affinity-based code for mammalian Material Supplemental

Shane T. Jensen, Fernando C Pereira, A. Hatzigeorgiou, 2009 .

Adaptive Paired Comparison Design

Shane T. Jensen, M. Glickman, S. Jensen, 2005 .

Isoform specific gene auto-regulation via miRNAs: a case study on miR-128b and ARPP-21

Shane T. Jensen, A. Hatzigeorgiou, P. Sethupathy, 2010 .

Assessing REM sleep in mice using video data.

A. Pack, B. McShane, A. Wyner, 2012, Sleep.

Macromolecule biosynthesis - a key function of sleep Running title: Function of sleep

Shane T. Jensen, A. Pack, K. Shockley, 2007 .

IMPROVING FINANCIAL FORECASTING WITH POWER WEIGHTED DENSITIES By Daniel McCarthy

Shane T. Jensen, S. Jensen, 2014 .

A transcription factor affinity-based code for mammalian transcription initiation.

Fernando C Pereira, A. Hatzigeorgiou, M. Megraw, 2009, Genome research.

Combining phylogenetic motif discovery and motif clustering to predict co-regulated genes

Lei Shen, Shane T. Jensen, Jun S. Liu, 2005, Bioinform..

Statistical Learning With Time Series Dependence: An Application to Scoring Sleep in Mice

Shane T. Jensen, Shane T Jensen, Blakeley B McShane, 2013, Journal of the American Statistical Association.

Changes in the Distribution of Earnings Volatility

Shane T. Jensen, S. Shore, S. Jensen, 2015, The Journal of Human Resources.

Partial Information Framework: Model-Based Aggregation of Estimates from Diverse Information Sources

Lyle H. Ungar, Robin Pemantle, Shane T. Jensen, 2015, 1505.06472.

Bayesian Learning of Play Styles in Multiplayer Video Games pdf

Aline Normoyle, Shane T. Jensen, Aline Normoyle, 2021, ArXiv.

Bayesian Clustering of Player Styles for Multiplayer Games

Aline Normoyle, Shane T. Jensen, Aline Normoyle, 2015, AIIDE.

Estimating Fielding Ability in Baseball Players Over Time

Shane T. Jensen, James M Piette, S. Jensen, 2012 .

Bayesian integration of genetics and epigenetics detects causal regulatory SNPs underlying expression variability

Shane T. Jensen, H. Hakonarson, Mingyao Li, 2015, Nature Communications.

Bayesian variable selection and data integration for biological regulatory networks

Christian J. Stoeckert, Shane T. Jensen, Guang Chen, 2006, math/0610034.

Sensitivity Analysis for the Cross-Match Test, With Applications in Genomics

Dylan S. Small, Shane T. Jensen, P. Rosenbaum, 2010 .

An Alternative Prior Process for Nonparametric Bayesian Clustering

Katherine A. Heller, Hanna M. Wallach, Shane T. Jensen, 2008, AISTATS.

Some Comments and a Bibliography on the Laguerre-Samuelson Inequality with Extensions and Applications in Statistics and Matrix Theory

Shane T. Jensen, G. Styan, S. Jensen, 1999 .

Adaptive Paired Comparison Design

Shane T. Jensen, M. Glickman, S. Jensen, 2005 .

Bayesian Hierarchical Modeling of the HIV Evolutionary Response to Therapy

Jon D. McAuliffe, Alexander Braunstein, S. Jensen, 2013 .

The Human Capital Risk-Return Menu

Shane T. Jensen, S. Shore, D. Barth, 2010 .

Disease Diagnosis from Immunoassays with Plate to Plate Variability: A Hierarchical Bayesian Approach

Dylan S. Small, M. Levy, G. Sanchez, 2015 .

Does a negative genetic correlation between wing morph and early fecundity imply a functional constraint in Gryllus firmus

Shane T. Jensen, D. Roff, G. Stirling, 2001 .

Quantitative phosphoproteomics reveals extensive cellular reprogramming during HIV-1 entry.

F. Bushman, R. Doms, N. Parrish, 2013, Cell host & microbe.

Regularized sequence-context mutational trees capture variation in mutation rates across the human genome

I. Mathieson, B. Voight, Christopher J. Adams, 2023, bioRxiv.