Tag Archives: Machine learning

May 9-10 at the NYU Langone Medical Center, Dr. Kasthuri Kannan and Stepan Nersisyan will conduct a hands-on workshop dedicated to review of RNA-seq data as a rich source for classification using conventional machine learning tools. The workshop will cover ...

Veracyte, Inc. today announced that new data presented at ENDO 2018, the annual meeting of the Endocrine Society, suggest that the Afirma Genomic Sequencing Classifier (GSC) can help significantly more

Molecular subtypes of cancers and autoimmune disease, defined by transcriptomic profiling, have provided insight into disease pathogenesis, molecular heterogeneity, and therapeutic responses. However, technical biases inherent to different gene...

Company description OncoImmunity is a machine-learning based bioinformatics company providing software to empower personalized cancer immunotherapy. Our flagship product predicts, from next generation sequencing (NGS) data, molecular targets specific to a patient’s tumor that can be used to design personalized ...

The discovery of microRNAs (miRNAs) remains an important problem, particularly given the growth of high-throughput sequencing, cell sorting and single cell biology. While a large number of miRNAs have already been annotated, there may well be large numbers of miRNAs ...

Machine learning (ML) is a powerful tool to create supervised models that can distinguish between classes and facilitate biomarker selection in high-dimensional datasets, including RNA Sequencing (RNA-Seq). However, it is variable as to which is the best performing ML algorithm(s) ...

Large compendia of gene expression data have proven valuable for the discovery of novel biological relationships. The majority of available RNA assays are run on microarray, while RNA-seq is becoming the platform of choice for new experiments. The data structure ...

Shirley Pepke – The complexity of cancer has famously eluded conquering by modern medicine. Every tumor has many aberrations that drive its growth. As a result, treatments that target single vulnerabilities are typically of short-lived efficacy. After being diagnosed with ...

A transcription unit (TU) consists of K ≥ 1consecutive genes on the same strand of a bacterial genome that are transcribed into a single mRNA molecule under certain conditions. Their identification is an essential step in elucidation of transcriptional regulatory networks. A ...

The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest among bioinformaticians, who now wish to bring the power of deep learning to bare on a host of bioinformatical problems. ...