Davuluri, Ramana V

DNABERT: pre-trained bidirectional encoder representations from transformers model for DNA-language in genome

Ji, Y., Zhou, Z., Liu, H., & Davuluri, R. V. (2021) · Bioinformatics

Machine Learning in BioinformaticsGenomics and Chromatin Dynamics

Cited by 1,303

A MicroRNA Signature of Hypoxia

Kulshreshtha, R., Ferracin, M., Wojcik, S. E., Garzon, R., Alder, H., Agosto-Perez, F. J., Davuluri, R., Liu, C.-G., Croce, C. M., Negrini, M., et al. (2007) · Molecular and Cellular Biology

MicroRNA in disease regulationCancer, Hypoxia, and Metabolism

Cited by 1,055

Direct coupling of the cell cycle and cell death machinery by E2F

Nahle, Z., Polakoff, J., Davuluri, R. V., McCurrach, M. E., Jacobson, M. D., Narita, M., Zhang, M. Q., Lazebnik, Y., Bar-Sagi, D., & Lowe, S. W. (2002) · Nature Cell Biology

Cancer-related Molecular PathwaysCell death mechanisms and regulation

Cited by 421

The functional consequences of alternative promoter use in mammalian genomes

Davuluri, R. V., Suzuki, Y., Sugano, S., Plass, C., & Huang, T. H.-M. (2008) · Trends in Genetics

Genomics and Chromatin DynamicsRNA Research and Splicing

Cited by 408

PML Is a Direct p53 Target that Modulates p53 Effector Functions

de Stanchina, E., Querido, E., Narita, M., Davuluri, R. V., Pandolfi, P. P., Ferbeyre, G., & Lowe, S. W. (2004) · Molecular Cell

Cancer-related Molecular PathwaysCell death mechanisms and regulation

Cited by 312

Metastatic cancers promote cachexia through ZIP14 upregulation in skeletal muscle

Wang, G., Biswas, A. K., Ma, W., Kandpal, M., Coker, C., Grandgenett, P. M., Hollingsworth, M. A., Jain, R., Tanji, K., Lόpez-Pintado, S., et al. (2018) · Nature Medicine

Muscle Physiology and DisordersNutrition and Health in Aging

Cited by 188

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Zhou, Z., Ji, Y., Li, W., Dutta, P., Davuluri, R., & Liu, H. (2023) · arXiv

Machine Learning in BioinformaticsFractal and DNA sequence analysis

Cited by 179

HINCUTs in cancer: Hypoxia-induced noncoding ultraconserved transcripts

Ferdin, J., Nishida, N., Wu, X., Nicoloso, M. S., Shah, M. Y., Devlin, C., Ling, H., Shimizu, M., Kumar, K., Cortez, M. A., et al. (2013) · Cell Death & Differentiation

Cancer-related molecular mechanisms researchCancer, Hypoxia, and Metabolism

Cited by 103

NPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq data

Bi, Y., & Davuluri, R. V. (2013) · BMC Bioinformatics

Gene expression and cancer classificationGenomics and Phylogenetic Studies

Cited by 30