Deep-AmPEP30: improve short antimicrobial peptides prediction with deep learning J Yan, P Bhadra, A Li, P Sethiya, L Qin, HK Tai, KH Wong, SWI Siu Molecular Therapy-Nucleic Acids 20, 882-894, 2020 | 168 | 2020 |
Transcription in fungal conidia before dormancy produces phenotypically variable conidia that maximize survival in different environments F Wang, P Sethiya, X Hu, S Guo, Y Chen, A Li, K Tan, KH Wong Nature microbiology 6 (8), 1066-1081, 2021 | 54 | 2021 |
Transcriptomic analysis reveals global and temporal transcription changes during Candida glabrata adaptation to an oxidative environment P Sethiya, MN Rai, R Rai, C Parsania, K Tan, KH Wong Fungal biology 124 (5), 427-439, 2020 | 13 | 2020 |
FungiExpresZ: an intuitive package for fungal gene expression data analysis, visualization and discovery C Parsania, R Chen, P Sethiya, Z Miao, L Dong, KH Wong Briefings in Bioinformatics 24 (2), bbad051, 2023 | 2 | 2023 |
Dysregulating PHO Signaling via the CDK Machinery Differentially Impacts Energy Metabolism, Calcineurin Signaling, and Virulence in Cryptococcus neoformans BG Bowring, P Sethiya, D Desmarini, S Lev, L Tran Le, YS Bahn, SH Lee, ... Mbio 14 (2), e03551-22, 2023 | 1 | 2023 |
Transcriptome analysis reveals a common adaptive transcriptional response of Candida glabrata to diverse environmental stresses MN Rai, R Rai, P Sethiya, C Parsania Research in Microbiology 174 (5), 104073, 2023 | | 2023 |
Integrating different transcription profiling data to determine mRNA stability upon host-pathogen interaction P Sethiya, N Rai, F Wang, KH Wong | | 2018 |