output
20102025
most citedDynamic Modeling of the Interaction Between Autophagy and Apoptosis in Mammalian Cells

85 citations

17 papers

q-bio.QM2025★ 3 cited

Optimal Pair Matching Combined with Machine Learning Predicts a Significant Reduction in Myocardial Infarction Risk in African Americans following Omega-3 Fatty Acid Supplementation

Shudong Sun, Aki Hara, Laurel Johnstone +9

Conflicting clinical trial results on omega-3 highly unsaturated fatty acids (n-3 HUFA) have prompted uncertainty about their cardioprotective effects. While the VITAL trial found…

cs.LG2025★ 1 cited

The Target Polish: A New Approach to Outlier-Resistant Non-Negative Matrix Factorization

Paul Fogel, Christophe Geissler, George Luta

This paper introduces the "Target Polish," a robust and computationally efficient framework for Non-Negative Matrix Factorization (NMF). Although conventional weighted NMF approach…

cs.LG2025

CoxNTF: A New Approach for Joint Clustering and Prediction in Survival Analysis

Paul Fogel, Christophe Geissler, George Luta

The interpretation of the results of survival analysis often benefits from latent factor representations of baseline covariates. However, existing methods, such as Nonnegative Matr…

math.HO2022

Leveraging guidelines for ethical practice of statistics and computing to develop standards for ethical mathematical practice: A White Paper

Catherine Buell, Victor I. Piercey, Rochelle E. Tractenberg

We report the results of our NSF-funded project in which we alpha- and beta- tested a survey comprising all aspects of the ethical practice standards from two disciplines with rele…

cs.CL2021

A Simple and Practical Approach to Improve Misspellings in OCR Text

Junxia Lin, Johannes Ledolter

The focus of our paper is the identification and correction of non-word errors in OCR text. Such errors may be the result of incorrect insertion, deletion, or substitution of a cha…

q-bio.OT2021★ 47 cited

Ten Quick Tips for Deep Learning in Biology

Benjamin D. Lee, Anthony Gitter, Casey S. Greene +17

Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that…

q-bio.QM2021★ 18 cited

Identification and Development of Therapeutics for COVID-19

Halie M. Rando, Nils Wellhausen, Soumita Ghosh +21

After emerging in China in late 2019, the novel Severe acute respiratory syndrome-like coronavirus 2 (SARS-CoV-2) spread worldwide and as of early 2021, continues to significantly…

q-bio.QM2021★ 2 cited

Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure

Halie M. Rando, Adam L. MacLean, Alexandra J. Lee +31

The novel coronavirus SARS-CoV-2, which emerged in late 2019, has since spread around the world and infected hundreds of millions of people with coronavirus disease 2019 (COVID-19)…

physics.med-ph2021★ 20 cited

Optical and magnetic resonance imaging approaches for investigating the tumour microenvironment: state-of-the-art review and future trends

S. Prasad, A. Chandra, M. Cavo +8

The tumour microenvironment (TME) strongly influences tumorigenesis and metastasis. Two of the most characterized properties of the TME are acidosis and hypoxia, both of which are…

q-bio.BM2019★ 10 cited

BpForms and BcForms: Tools for concretely describing non-canonical polymers and complexes to facilitate comprehensive biochemical networks

Paul F. Lang, Yassmine Chebaro, Xiaoyue Zheng +4

Although non-canonical residues, caps, crosslinks, and nicks play an important role in the function of many DNA, RNA, proteins, and complexes, we do not fully understand how networ…

cs.NE2018★ 2 cited

Geared Rotationally Identical and Invariant Convolutional Neural Network Systems

ShihChung B. Lo, Ph. D., Matthew T. Freedman +4

Theorems and techniques to form different types of transformationally invariant processing and to produce the same output quantitatively based on either transformationally invarian…

stat.ME2016★ 30 cited

Optimizing Trial Designs for Targeted Therapies

Thomas Ondra, Sebastian Jobjörnsson, Robert A. Beckman +4

An important objective in the development of targeted therapies is to identify the populations where the treatment under consideration has positive benefit risk balance. We conside…

q-bio.MN2013★ 85 cited

Dynamic Modeling of the Interaction Between Autophagy and Apoptosis in Mammalian Cells

I. Tavassoly, J. Parmar, A. N. Shajahan-Haq +3

Autophagy is a conserved biological stress response in mammalian cells that is responsible for clearing damaged proteins and organelles from the cytoplasm and recycling their conte…

q-bio.GN2013

BACOM 2.0 facilitates absolute normalization and quantification of somatic copy number alterations in heterogeneous tumor

Yi Fu, Guoqiang Yu, Douglas A. Levine +5

BACOM is a statistically principled and unsupervised method that detects copy number deletion types (homozygous versus heterozygous), estimates normal cell fraction, and recovers c…

nlin.PS2012

A geometric method for spatiotemporal coherent structure analysis

Chuan Zhang, Kentaroh Takagaki, Xiaoying Huang +2

We describe a geometric method to quantify wave patterns observed in the nervous system, which are non-stationary and with a mixture of spiral, target, plane and irregular waves. T…

q-bio.NC2011

Synaptic potentiation facilitates memory-like attractor dynamics in cultured in vitro hippocampal networks

Mark Niedringhaus, Xin Chen, Katherine Conant +1

Collective rhythmic dynamics from neurons is vital for cognitive functions such as memory formation but how neurons self-organize to produce such activity is not well understood. A…

q-bio.NC2010★ 55 cited

Observed network dynamics from altering the balance between excitatory and inhibitory neurons in cultured networks

Xin Chen, Rhonda Dzakpasu

Complexity in the temporal organization of neural systems may be a reflection of the diversity of its neural constituents. These constituents, excitatory and inhibitory neurons, co…