Lyle Ungar - Bioinformatics papers

Most of these papers are available on pubmed.

Text Mining in BioInformatics

Online discussion of drug side effects and discontinuation among breast cancer survivors
Mao JJ, Chung A, Benton A, Hill S, Ungar L, Leonard C, Hennessy S, Holmes JH.
Pharmacoepidemiology and Drug Safety (2013; press release)
Extracting templates from radiology reports using sequence alignment.
Shengyang Wu, Curtis P. Langlotz, Paras Lakhani, Lyle H. Ungar
IJDMB 6(6): 633-650 (2012)
Identifying potential adverse effects using the web: a new approach to medical hypothesis generation.
Benton A, Ungar L, Hill S, Hennessy S, Mao J, Chung A, Leonard CE, Holmes JH.
Mining Internet Conversations for Evidence of Supplement-Associated Adverse Events.
J.H. Holmes, A. Benton, A. Chung, C. Freeman, S. Hennessy, S. Hill, C. Leonard, J. Mao and L. Ungar
A system for de-identifying medical message board text.
Benton A, Hill S, Ungar L, Chung A, Leonard C, Freeman C, Holmes JH.
Natural supplements for H1N1 influenza: retrospective observational infodemiology study of information and search activity on the Internet.
Hill S, Mao J, Ungar L, Hennessy S, Leonard CE, Holmes J.
Multiway Clustering for Creating Biomedical Term Sets.
V Kandylas, L Ungar, T Sandler, S Jensen
Automatic term list generation for entity tagging
Sandler T, Schein AI, Ungar LH.
Integrated Annotation for Biomedical Information Extraction.
S. Kulick, A. Bies, M. Liberman, M. Mandel, R. McDonald, M. Palmer, A. Schein and L. Ungar

The Power of Multimodal Neuroimaging Biomarkers for Screening Neurodegenerative Diseases
Corey McMillan, Brian Avants, Philip Cook, Lyle Ungar and Murray Grossman
Partial sparse canonical correlation analysis (PSCCA) for population studies in medical imaging.
Paramveer S. Dhillon, Brian B. Avants, Lyle H. Ungar, James C. Gee
ISBI 2012: 1132-1135
Dementia induces correlated reductions in white matter integrity and cortical thickness: A multivariate neuroimaging study with sparse canonical correlation analysis.
Brian B. Avants, Philip A. Cook, Lyle Ungar, James C. Gee and Murray Grossman
Gamma-band ECoG correlates of human cognitive representations.
Jacobs, J., Ungar, L.H. and Kahana, M.J.

CoRAL: predicting non-coding RNAs from small RNA-sequencing data
Yuk Yee Leung, Paul Ryvkin, Lyle H. Ungar, Brian D. Gregory, and Li-San Wang
Sequence alignment reveals possible MAPK docking motifs on HIV proteins.
Evans P, Sacan A, Ungar L, Tozeren A.
Host sequence motifs shared by HIV predict response to antiretroviral therapy
Dampier W, Evans P, Ungar L, Tozeren A.
Prediction of HIV-1 virus-host protein interactions using virus and host sequence motifs
Evans P, Dampier W, Ungar L, Tozeren A
Protein-Protein Interaction Network Alignment by Quantitative Simulation.
Perry Evans, Ted Sandler and Lyle Ungar
MetaProm: a neural network based meta-predictor for alternative human promoter prediction.
Wang J, Ungar LH Tseng H, Hannenhalli S.
Identification of potential CSF biomarkers in ALS.
Pasinetti GM, Ungar LH, Lange DJ, Yemul S, Deng H, Yuan X, Brown RH, Cudkowicz ME, Newhall K, Peskind E, Marcus S, Ho L.
Patterns of sequence conservation in presynaptic neural genes.
Hadley D, Murphy T, Valladares O, Hannenhalli S, Ungar L, Kim J, Bućan, M.
A predictive model for identifying mini-regulatory modules in the mouse genome.
Yaragatti M, Sandler T, Ungar L.
Chloroplast transit peptide prediction: a peek inside the black box.
Schein AI, Kissinger JC, Ungar LH.
Using prior knowledge to improve genetic network reconstruction from microarray data.
Le Phillip P, Bahl A, Ungar LH

Limitations of threshold-based brain oxygen monitoring for seizure detection.
Park S, Roederer A, Mani R, Schmitt S, LeRoux PD, Ungar LH, Lee I, Kasner SE.
The CRASSS plug-in for integrating annotation data with hierarchical clustering results.
Buehler EC, Sachs JR, Shao K, Bagchi A, Ungar LH
Significance of conductances in Hodgkin-Huxley models.
Foster WR, Ungar LH, Schwaber JS.

home: ungar@cis.upenn.edu