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Kalpana Raja
Kalpana Raja
Faculty, School of Medicine, Yale University, New Haven, CT, USA
Verified email at yale.edu
Title
Cited by
Cited by
Year
Atopic dermatitis is an IL-13–dominant disease with greater molecular heterogeneity compared to psoriasis
LC Tsoi, E Rodriguez, F Degenhardt, H Baurecht, U Wehkamp, N Volks, ...
Journal of Investigative Dermatology 139 (7), 1480-1489, 2019
4162019
Healthcare data analytics
CK Reddy, CC Aggarwal
CRC Press, 2015
1672015
Genetic signature to provide robust risk assessment of psoriatic arthritis development in psoriasis patients
MT Patrick, PE Stuart, K Raja, JE Gudjonsson, T Tejasvi, J Yang, ...
Nature communications 9 (1), 4178, 2018
1132018
PPInterFinder—a mining tool for extracting causal relations on human proteins from literature
K Raja, S Subramani, J Natarajan
Database 2013, 2013
872013
An overview of the BioCreative 2012 Workshop Track III: interactive text mining task
CN Arighi, B Carterette, KB Cohen, M Krallinger, WJ Wilbur, P Fey, ...
Database 2013, bas056, 2013
862013
A review of recent advancement in integrating omics data with literature mining towards biomedical discoveries
K Raja, M Patrick, Y Gao, D Madu, Y Yang, LC Tsoi
International journal of genomics 2017 (1), 6213474, 2017
682017
Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseases
K Raja, M Patrick, ET James, LC Tsoi
Scientific Reports 7, 2017
612017
Hypersensitive IFN responses in lupus keratinocytes reveal key mechanistic determinants in cutaneous lupus
LC Tsoi, GA Hile, CC Berthier, MK Sarkar, TJ Reed, J Liu, R Uppala, ...
The Journal of Immunology 202 (7), 2121-2130, 2019
592019
Drug repurposing prediction for immune-mediated cutaneous diseases using a word-embedding–based machine learning approach
MT Patrick, K Raja, K Miller, J Sotzen, JE Gudjonsson, JT Elder, LC Tsoi
Journal of Investigative Dermatology 139 (3), 683-691, 2019
542019
Agile text mining for the 2014 i2b2/UTHealth Cardiac risk factors challenge
J Cormack, C Nath, D Milward, K Raja, SR Jonnalagadda
Journal of biomedical informatics 58, S120-S127, 2015
472015
Classification of clinically useful sentences in clinical evidence resources
MA Morid, M Fiszman, K Raja, SR Jonnalagadda, G Del Fiol
Journal of biomedical informatics 60, 14-22, 2016
442016
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations
Q Chen, J Du, Y Hu, VK Keloth, X Peng, K Raja, R Zhang, Z Lu, H Xu
arXiv preprint arXiv:2305.16326, 2023
392023
HPIminer: A text mining system for building and visualizing human protein interaction networks and pathways
S Subramani, R Kalpana, PM Monickaraj, J Natarajan
Journal of Biomedical Informatics 54, 121-131, 2015
252015
A hybrid named entity tagger for tagging human proteins/genes
K Raja, S Subramani, J Natarajan
International journal of data mining and bioinformatics 10 (3), 315-328, 2014
232014
Caenorhabditis elegans as a possible model to screen anti-Alzheimer's therapeutics
P Deepraj, C Sandhya, J Antony, R Kalpana, KM Suresh
Journal of Pharmacological and Toxicological Methods, 2020
182020
ProNormz–An integrated approach for human proteins and protein kinases normalization
S Subramani, K Raja, J Natarajan
Journal of Biomedical Informatics 47, 131-138, 2014
152014
Natural Language Processing and Data Mining for Clinical Text.
K Raja, S Jonnalagadda
Healthcare Data Analytics 36, 219, 2015
132015
HomoKinase: a curated database of human protein kinases
S Subramani, S Jayapalan, R Kalpana, J Natarajan
International Scholarly Research Notices 2013 (1), 417634, 2013
132013
Classification of clinically useful sentences in MEDLINE
MA Morid, S Jonnalagadda, M Fiszman, K Raja, G Del Fiol
AMIA Annual symposium proceedings 2015, 2015
122015
Towards precise PICO extraction from abstracts of randomized controlled trials using a section-specific learning approach
Y Hu, VK Keloth, K Raja, Y Chen, H Xu
Bioinformatics 39 (9), btad542, 2023
112023
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