Results 71 to 80 of about 9,911,867 (381)

Predicting Gene Expression from Sequence [PDF]

open access: yesCell, 2004
We describe a systematic genome-wide approach for learning the complex combinatorial code underlying gene expression. Our probabilistic approach identifies local DNA-sequence elements and the positional and combinatorial constraints that determine their context-dependent role in transcriptional regulation.
Saeed Tavazoie, Michael A. Beer
openaire   +3 more sources

A transfer-learning approach to feature extraction from cancer transcriptomes with deep autoencoders [PDF]

open access: yes, 2019
Publicado en Lecture Notes in Computer Science.The diagnosis and prognosis of cancer are among the more challenging tasks that oncology medicine deals with.
A Bashiri   +13 more
core   +1 more source

eggNOG-mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale

open access: yesbioRxiv, 2021
Even though automated functional annotation of genes represents a fundamental step in most genomic and metagenomic workflows, it remains challenging at large scales.
C. Cantalapiedra   +4 more
semanticscholar   +1 more source

Prediction of disease genes using tissue-specified gene-gene network [PDF]

open access: yesBMC Systems Biology, 2014
Tissue specificity is an important aspect of many genetic diseases in the context of genetic disorders as the disorder affects only few tissues. Therefore tissue specificity is important in identifying disease-gene associations. Hence this paper seeks to discuss the impact of using tissue specificity in predicting new disease-gene associations and how ...
Min Li   +4 more
openaire   +3 more sources

Digging into acceptor splice site prediction : an iterative feature selection approach [PDF]

open access: yes, 2004
Feature selection techniques are often used to reduce data dimensionality, increase classification performance, and gain insight into the processes that generated the data.
A.I. Blum   +18 more
core   +2 more sources

Circulating histones as clinical biomarkers in critically ill conditions

open access: yesFEBS Letters, EarlyView.
Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez   +17 more
wiley   +1 more source

Measuring the impact of gene prediction on gene loss estimates in Eukaryotes by quantifying falsely inferred absences

open access: yesPLoS Comput. Biol., 2019
In recent years it became clear that in eukaryotic genome evolution gene loss is prevalent over gene gain. However, the absence of genes in an annotated genome is not always equivalent to the loss of genes.
E. S. Deutekom   +3 more
semanticscholar   +1 more source

Evolutionary-scale prediction of atomic level protein structure with a language model

open access: yesbioRxiv, 2022
Artificial intelligence has the potential to open insight into the structure of proteins at the scale of evolution. It has only recently been possible to extend protein structure prediction to two hundred million cataloged proteins.
Zeming Lin   +14 more
semanticscholar   +1 more source

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

open access: yesFEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu   +17 more
wiley   +1 more source

Evidence That Inconsistent Gene Prediction Can Mislead Analysis of Dinoflagellate Genomes

open access: yesJournal of Phycology, 2019
Comparative algal genomics often relies on predicted genes from de novo assembled genomes. However, the artifacts introduced by different gene‐prediction approaches, and their impact on comparative genomic analysis remain poorly understood.
Yibi Chen   +4 more
semanticscholar   +1 more source

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