Krishnan, Arjun
University of Colorado Anschutz
6 papers on CoChatORCID 0000-0002-7980-4110
Most cited papers
- Verified
Understanding multicellular function and disease with human tissue-specific networks
Greene, C. S., Krishnan, A., Wong, A. K., Ricciotti, E., Zelaya, R. A., Himmelstein, D. S., Zhang, R., Hartmann, B. M., Zaslavsky, E., Sealfon, S. C., et al. (2015) · Nature Genetics
Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies
Cited by 832
- Verified
Molecular and Physiological Analysis of Drought Stress in Arabidopsis Reveals Early Responses Leading to Acclimation in Plant Growth
Harb, A., Krishnan, A., Ambavaram, M. M. R., & Pereira, A. (2010) · Plant Physiology
Plant Stress Responses and TolerancePlant Water Relations and Carbon Dynamics
Cited by 747
- Verified
Improvement of water use efficiency in rice by expression of HARDY , an Arabidopsis drought and salt tolerance gene
Karaba, A., Dixit, S., Greco, R., Aharoni, A., Trijatmiko, K. R., Marsch-Martinez, N., Krishnan, A., Nataraja, K. N., Udayakumar, M., & Pereira, A. (2007) · Proceedings of the National Academy of Sciences
Plant Stress Responses and ToleranceRice Cultivation and Yield Improvement
Cited by 471
- Verified
Rare variants in the genetic background modulate cognitive and developmental phenotypes in individuals carrying disease-associated variants
Pizzo, L., Jensen, M., Polyak, A., Rosenfeld, J. A., Mannik, K., Krishnan, A., McCready, E., Pichon, O., Le Caignec, C., Van Dijck, A., et al. (2019) · Genetics in Medicine
Genomic variations and chromosomal abnormalitiesGenomics and Rare Diseases
Cited by 193
- Verified
Expression-based machine learning models for predicting plant tissue identity
Palande, S., Arsenault, J., Basurto-Lozada, P., Bleich, A., Brown, B. N. I., Buysse, S. F., Connors, N. A., Adhikari, S. D., Dobson, K. C., Guerra-Castillo, F. X., et al. (2023) · Applications in Plant Sciences
Gene expression and cancer classificationPlant Molecular Biology Research
Cited by 7
- Verified
Expression‐based machine learning models for predicting plant tissue identity
Palande, S., Arsenault, J., Basurto‐Lozada, P., Bleich, A., Brown, B. N. I., Buysse, S. F., Connors, N. A., Das Adhikari, S., Dobson, K. C., Guerra‐Castillo, F. X., et al. (2025) · Applications in Plant Sciences
Gene expression and cancer classificationPlant Molecular Biology Research
Cited by 7
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