activity
20092026
most citedThe Cure: Making a game of gene selection for breast cancer survival prediction

45 citations · 52 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.QM2026

pVACtools v6: A comprehensive suite for neoantigen prediction, visualization, and therapy design

My H. Hoang, Susanna Kiwala, Megan Richters +23

With the rise of checkpoint blockade therapies and neoantigen-based vaccines reaching later-stage trials, there is a growing need for computational tools to identify and prioritize…

q-bio.GN2025

ImmunoNX: a robust bioinformatics workflow to support personalized neoantigen vaccine trials

Kartik Singhal, Evelyn Schmidt, Susanna Kiwala +36

Personalized neoantigen vaccines represent a promising immunotherapy approach that harnesses tumor-specific antigens to stimulate anti-tumor immune responses. However, the design o…

q-bio.GN2024

pVACview: an interactive visualization tool for efficient neoantigen prioritization and selection

Huiming Xia, My Hoang, Evelyn Schmidt +13

Neoantigen targeting therapies including personalized vaccines have shown promise in the treatment of cancers. Accurate identification/prioritization of neoantigens is highly relev…

q-bio.GN2021★ 3 cited

Bam-readcount -- rapid generation of basepair-resolution sequence metrics

Ajay Khanna, David E. Larson, Sridhar Nonavinkere Srivatsan +10

Bam-readcount is a utility for generating low-level information about sequencing data at specific nucleotide positions. Originally designed to help filter genomic mutation calls, t…

q-bio.GN2014★ 45 cited

The Cure: Making a game of gene selection for breast cancer survival prediction

Benjamin M. Good, Salvatore Loguercio, Obi L. Griffith +3

Motivation: Molecular signatures for predicting breast cancer prognosis could greatly improve care through personalization of treatment. Computational analyses of genome-wide expre…

cs.DB2009★ 4 cited

KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis

Obi L. Griffith, Byron J. Gao, Mikhail Bilenky +3

Subspace clustering has gained increasing popularity in the analysis of gene expression data. Among subspace cluster models, the recently introduced order-preserving sub-matrix (OP…