8 citations · 17 across the 14 of their papers we have counts for
16 papers
SARS-CoV-2 orthologs of pathogenesis-involved small viral RNAs of SARS-CoV
Ali Ebrahimpour Boroojeny, Hamidreza Chitsaz
Background: The COVID-19 pandemic clock is ticking and the survival of many of mankind's modern institutions and or survival of many individuals is at stake. There is a need for tr…
BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model
Ali Ebrahimpour-Boroojeny, Sanjay Rajopadhye, Hamidreza Chitsaz
RNA-RNA interaction (RRI) is ubiquitous and has complex roles in the cellular functions. In human health studies, miRNA-target and lncRNAs are among an elite class of RRIs that hav…
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome
Behrooz Azarkhalili, Ali Saberi, Hamidreza Chitsaz +1
Despite great advances, molecular cancer pathology is often limited to the use of a small number of biomarkers rather than the whole transcriptome, partly due to computational chal…
Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks
Farzad Abdolhosseini, Behrooz Azarkhalili, Abbas Maazallahi +4
Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but…
Scalable Nonlinear AUC Maximization Methods
Majdi Khalid, Indrakshi Ray, Hamidreza Chitsaz
The area under the ROC curve (AUC) is a measure of interest in various machine learning and data mining applications. It has been widely used to evaluate classification performance…
Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016)
Nancy Amato, Charles Anderson, Gregory Chirikjian +13
Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016)