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Reconstructing transcriptional regulatory networks is an important task in functional genomics. Data obtained from experiments that perturb genes by knockouts or RNA interference contain useful information for addressing this reconstruction…

Machine Learning · Statistics 2015-06-18 Ali Shojaie , Alexandra Jauhiainen , Michael Kallitsis , George Michailidis

Common and complex traits are the consequence of the interaction and regulation of multiple genes simultaneously, which work in a coordinated way. However, the vast majority of studies focus on the differential expression of one individual…

Genomics · Quantitative Biology 2019-08-22 Akram Yazdani , Raul Mendez-Giraldez , Michael R Kosorok , Panos Roussos

We present the methods and results of a two-stage modeling process that generates candidate gene-regulatory networks of the bacterium B. subtilis from experimentally obtained, yet mathematically underdetermined microchip array data. By…

Molecular Networks · Quantitative Biology 2009-11-13 C. Christensen , A. Gupta , C. D. Maranas , R. Albert

Transcriptional interactions in a cell are modulated by a variety of mechanisms that prevent their representation as pure pairwise interactions between a transcription factor and its target(s). These include, among others, transcription…

Molecular Networks · Quantitative Biology 2007-05-23 Kai Wang , Ilya Nemenman , Nilanjana Banerjee , Adam Margolin , Andrea Califano

Pre-mRNA splicing relies on the poorly understood dynamic interplay between >150 protein components of the spliceosome. The steps at which splicing can be regulated remain largely unknown. We systematically analyzed the effect of knocking…

Molecular Networks · Quantitative Biology 2015-01-19 Panagiotis Papasaikas , J. Ramon Tejedor , Luisa Vigevani , Juan Valcarcel

Background: The short reads output by first- and second-generation DNA sequencing instruments cannot completely reconstruct microbial chromosomes. Therefore, most genomes have been left unfinished due to the significant resources required…

In this paper we study $k$-noncrossing, canonical RNA pseudoknot structures with minimum arc-length $\ge 4$. Let ${\sf T}_{k,\sigma}^{[4]} (n)$ denote the number of these structures. We derive exact enumeration results by computing the…

Combinatorics · Mathematics 2008-06-17 Gang Ma , Christian M. Reidys

In this paper, we propose an end-to-end deep learning model, called E2Efold, for RNA secondary structure prediction which can effectively take into account the inherent constraints in the problem. The key idea of E2Efold is to directly…

Machine Learning · Computer Science 2020-06-11 Xinshi Chen , Yu Li , Ramzan Umarov , Xin Gao , Le Song

The human gut microbiome is associated with a large number of disease etiologies. As such, it is a natural candidate for machine learning based biomarker development for multiple diseases and conditions. The microbiome is often analyzed…

Quantitative Methods · Quantitative Biology 2022-05-16 Shtossel Oshrit , Isakov Haim , Turjeman Sondra , Koren Omry , Louzoun Yoram

Living cells are the product of gene expression programs that involve the regulated transcription of thousands of genes. The elucidation of transcriptional regulatory networks in thus needed to understand the cell's working mechanism, and…

Quantitative Methods · Quantitative Biology 2011-02-21 Fantine Mordelet , Jean-Philippe Vert

High-throughput RNA sequencing (RNA-seq) is now the standard method to determine differential gene expression. Identifying differentially expressed genes crucially depends on estimates of read count variability. These estimates are…

Chronic kidney disease (CKD) has a poor prognosis due to excessive risk factors and comorbidities associated with it. The early detection of CKD faces challenges of insufficient medical histories of positive patients and complicated risk…

Machine Learning · Computer Science 2020-12-08 Yu Wang , Ziqiao Guan , Wei Hou , Fusheng Wang

Transcription factors (TFs), the key players in transcriptional regulation, have attracted great experimental attention, yet the functions of most human TFs remain poorly understood. Recent capabilities in genome-wide protein binding…

Molecular Networks · Quantitative Biology 2016-02-23 Yong Fuga Li , Russ B. Altman

We use the power density spectra obtained by fluctuation-enhanced sensing of bacterial odors (Escherichia coli and Anthrax-surrogate Bacillus subtilis) to generate new, highly distinguishable, types of patterns based on the average slope of…

General Physics · Physics 2012-02-20 Hung-Chih Chang , Laszlo B. Kish , Maria D. King , Chiman Kwan

RNA design aims to find a sequence that folds with highest probability into a designated target structure. However, certain structures are undesignable, meaning no sequence can fold into the target structure under the default (Turner) RNA…

Data Structures and Algorithms · Computer Science 2025-05-06 Tianshuo Zhou , Wei Yu Tang , Apoorv Malik , David H. Mathews , Liang Huang

Recent genome-wide measurements of binding preferences of ~200 transcription regulators in the vicinity of transcription start sites in yeast, have provided a unique insight into the cis- regulatory code of a eukaryotic genome (Venters et…

Biomolecules · Quantitative Biology 2012-04-19 Ariel Afek , David B. Lukatsky

In this work, a machine learning approach for identifying the multi-omics metabolic regulatory control circuits inside the pathways is described. Therefore, the identification of bacterial metabolic pathways that are more regulated than…

Molecular Networks · Quantitative Biology 2024-04-09 Francesco Bardozzo , Pietro Lio' , Roberto Tagliaferri

In this paper we study an important global regulation mechanism of transcription of biological cells using specific macro-molecules, 6S RNAs. The functional property of 6S RNAs is of blocking the transcription of RNAs when the environment…

Probability · Mathematics 2022-08-22 Vincent Fromion , Philippe Robert , Jana Zaherddine

Nosocomial infections have important consequences for patients and hospital staff: they worsen patient outcomes and their management stresses already overburdened health systems. Accurate judgements of whether an infection is nosocomial…

Despite theoretical advantages, causal methods for Gene Regulatory Network (GRN) inference from single-cell RNA-seq data consistently fail to match or outperform correlation-based baselines in many realistic benchmarks, a persistent puzzle…

Machine Learning · Computer Science 2026-05-07 Miguel Fernandez-de-Retana , Ruben Sanchez-Corcuera , Unai Zulaika , Aritz Bilbao-Jayo , Aitor Almeida