Predicting Gene Ontology Biological Process From Temporal Gene Expression Patterns

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Learning Rule-based Models of Biological Process from Gene Expression Time Profiles Using Gene Ontology

MOTIVATION Microarray technology enables large-scale inference of the participation of genes in biological process from similar expression profiles. Our aim is to induce classificatory models from expression data and biological knowledge that can automatically associate genes with novel hypotheses of biological process. RESULTS We report a systematic supervised learning approach to predicting...

متن کامل

Gene Ontology Driven Classification of Gene Expression Patterns

Probe-sets are annotated to GO-nodes. There is a diagnostic predictor for each GO-node. It assigns samples according to expression similarity of genes annotated to this node or its descendents. Each node predictor combines two classifiers: one has the genes annotated to the node as inputs, the other has the output of its children as inputs. All classifiers are based on the nearest shrunken cent...

متن کامل

Predicting gene essentiality from expression patterns in Escherichia coli

Essential genes are genes whose loss of function causes lethality. In the case of pathogen organisms, the identification of these genes is of considerable interest, as they provide targets for the development of novel antibiotics. Computational analyses have revealed that the positions of the encoded proteins in the protein-protein interaction network can help predict essentiality, but this typ...

متن کامل

Inferring gene annotations in Gene Ontology from gene expression data

Motivation: The Gene Ontology (GO) project develops a standard way to describe gene products in terms of their associated biological processes, cellular components and molecular functions. However, it is far from complete. Due to lacking biological knowledge or other technical difficulties, many gene products do not have GO annotations, and the annotations for many other gene products are not s...

متن کامل

Predicting Gene Expression from Sequence

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. The inferred regulatory rules correctly predict expression patterns for 73% of genes in S...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Genome Research

سال: 2003

ISSN: 1088-9051

DOI: 10.1101/gr.1144503