17 citations · 31 across the 11 of their papers we have counts for
12 papers
Communication-avoiding micro-architecture to compute Xcorr scores for peptide identification
Sumesh Kumar, Fahad Saeed
Database algorithms play a crucial part in systems biology studies by identifying proteins from mass spectrometry data. Many of these database search algorithms incur huge computat…
HiCOPS: High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry based Omics Data
Muhammad Haseeb, Fahad Saeed
Database-search algorithms, that deduce peptides from Mass Spectrometry (MS) data, have tried to improve the computational efficiency to accomplish larger, and more complex systems…
Communication Lower-Bounds for Distributed-Memory Computations for Mass Spectrometry based Omics Data
Fahad Saeed, Muhammad Haseeb, SS Iyengar
Mass spectrometry (MS) based omics data analysis require significant time and resources. To date, few parallel algorithms have been proposed for deducing peptides from mass spectro…
Explainable and Scalable Machine-Learning Algorithms for Detection of Autism Spectrum Disorder using fMRI Data
Taban Eslami, Joseph S. Raiker, Fahad Saeed
Diagnosing Autism Spectrum Disorder (ASD) is a challenging problem, and is based purely on behavioral descriptions of symptomology (DSM-5/ICD-10), and requires informants to observ…
ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data
Taban Eslami, Vahid Mirjalili, Alvis Fong +2
Mental disorders such as Autism Spectrum Disorders (ASD) are heterogeneous disorders that are notoriously difficult to diagnose, especially in children. The current psychiatric dia…
An Efficient Algorithm for Clustering of Large-Scale Mass Spectrometry Data
Fahad Saeed, Trairak Pisitkun, Mark A. Knepper +1
High-throughput spectrometers are capable of producing data sets containing thousands of spectra for a single biological sample. These data sets contain a substantial amount of red…