Inference of cell type-specific gene regulatory networks on cell lineages from single cell omic datasets S Zhang, S Pyne, S Pietrzak, S Halberg, SG McCalla, AF Siahpirani, ... Nature Communications 14 (1), 3064, 2023 | 54 | 2023 |
Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data SG McCalla, A Fotuhi Siahpirani, J Li, S Pyne, M Stone, V Periyasamy, ... G3: Genes, Genomes, Genetics 13 (3), jkad004, 2023 | 28* | 2023 |
Rapid Reconstruction of Time-varying Gene Regulatory Networks S Pyne, AR Kumar, A Anand IEEE/ACM transactions on computational biology and bioinformatics 17 (1 …, 2018 | 5 | 2018 |
Rapid Reconstruction of Time-varying Gene Regulatory Networks with Limited Main Memory S Pyne, A Anand IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1-1, 2019 | 4 | 2019 |
Impact of the continuous evolution of gene ontology on similarity measures M Paul, A Anand, S Pyne International Conference on Pattern Recognition and Machine Intelligence …, 2019 | 3 | 2019 |
Impact of the Continuous Evolution of Gene Ontology on the Performance of Similarity Measures for Scoring Confidence of Protein Interactions M Paul, A Anand, S Pyne SN Computer Science 1 (6), Article: 351, 2020 | 1 | 2020 |
Improving reconstruction efficiency of time varying gene regulatory networks S Pyne Guwahati, 2020 | 1 | 2020 |
A network-based model of Aspergillus fumigatus elucidates regulators of development and defensive natural products of an opportunistic pathogen CC Carriel, S Pyne, SA Halberg-Spencer, SC Park, H Seo, A Schmidt, ... bioRxiv, 2023.05. 11.538573, 2023 | | 2023 |
Profiling Cell Type Specificity and Adverse Events of Genome Editing Nucleases in the Brain and Retina Using Single Cell Transcriptomics K Saha, K Gimse, J Shin, Y Wang, JM Metzger, K Mueller, E Capowski, ... ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 63, 63-63, 2022 | | 2022 |