activity
20152021
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations · 647 across the 6 of their papers we have counts for

collaborators

7 papers

q-bio.MN2021

Gene targeting in disease networks

Deborah Weighill, Marouen Ben Guebila, Kimberly Glass +3

Profiling of whole transcriptomes has become a cornerstone of molecular biology and an invaluable tool for the characterization of clinical phenotypes and the identification of dis…

stat.AP2020★ 533 cited

The importance of transparency and reproducibility in artificial intelligence research

Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny +17

In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines…

q-bio.QM2017★ 1 cited

Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer

Jipeng Qiang, Wei Ding, John Quackenbush +1

While we once thought of cancer as single monolithic diseases affecting a specific organ site, we now understand that there are many subtypes of cancer defined by unique patterns o…

q-bio.QM2016★ 25 cited

PyPanda: a Python Package for Gene Regulatory Network Reconstruction

David G. P. van IJzendoorn, Kimberly Glass, John Quackenbush +1

PANDA (Passing Attributes between Networks for Data Assimilation) is a gene regulatory network inference method that uses message-passing to integrate multiple sources of 'omics da…

q-bio.GN2015★ 79 cited

Bipartite Community Structure of eQTLs

John Platig, Peter Castaldi, Dawn DeMeo +1

Genome Wide Association Studies (GWAS) and eQTL analyses have produced a large and growing number of genetic associations linked to a wide range of human phenotypes. As of 2013, th…

q-bio.QM2015★ 9 cited

High Performance Computing of Gene Regulatory Networks using a Message-Passing Model

Kimberly Glass, John Quackenbush, Jeremy Kepner

Gene regulatory network reconstruction is a fundamental problem in computational biology. We recently developed an algorithm, called PANDA (Passing Attributes Between Networks for…

q-bio.MN2015

Estimating sample-specific regulatory networks

Marieke Lydia Kuijjer, Matthew Tung, GuoCheng Yuan +2

Biological systems are driven by intricate interactions among the complex array of molecules that comprise the cell. Many methods have been developed to reconstruct network models…