Abstract: Systems and methods for classification and mutation prediction from histopathology images using deep learning. In particular, the examples described herein utilize lung cancer as an example, in particular adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) as two subtypes of lung cancer to identify and distinguish between.

Abstract: Systems and methods for classification and mutation prediction from histopathology images using deep learning. In particular, the examples described herein utilize lung cancer as an example, in particular adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) as two subtypes of lung cancer to identify and distinguish between.

Abstract: In one aspect of the invention, a method for regulating the expression of a transcript comprises using at least one interfering RNA molecule that binds to an area of transcript containing a region that corresponds to at least one sequence having SEQ ID NO: 1, the interfering RNA molecule regulating the expression of the transcript through post-transcriptional silencing. In another aspect, a method for regulating the expression of a transcript comprises at least one of the provided sequences having SEQ ID NO: 1 being used to design an interfering RNA molecule that contains a region that corresponds to the reverse complement of one or more sequences having SEQ ID NO: 1, the interfering molecule regulating, through post-transcriptional silencing, transcripts that contain the sequence having SEQ ID NO: 1.

Abstract: Techniques for linking non-coding and gene coding regions of a genome are provided. In one aspect, a method of determining associations between non-coding sequences and gene coding sequences in a genome of an organism comprises the following steps. At least one conserved region is identified from one or more non-coding sequences. Additional instances of the conserved region are located in the untranslated or amino acid coding regions of one or more genes in the organism under consideration, and the conserved region is associated with the one or more biological processes in which these one or more genes participate.

Abstract: Sequences that can be used in the context of controlled gene regulation are provided. In one aspect, at least one sequence comprising at least one of one or more sequences having SEQ ID NO: 1 through SEQ ID NO: 747,326 is provided. One or more of the provided sequences may be computationally predicted, e.g., from publicly available genomes, using a method based on pattern discovery. In another aspect, a method for regulating the expression of a transcript comprises the step of said transcript containing a region that corresponds to at least one of the provided sequences having SEQ ID NO: 1 through SEQ ID NO: 747,326, the region being targeted either by a naturally occurring, or appropriately designed, interfering RNA molecule that regulates the expression of said transcript through post-transcriptional silencing.

Abstract: A method and system for determining whether a sequence fragment g is atypical with respect to a reference sequence G using compositional methods and including constructing a template from G and g respectively containing a sequence of characters for a comparison with one another, wherein a number of characters contained in the template exceeds two. For the case where the sequences at hand are genetic, the atypicality detection can be used to determine whether a given sequence fragment g is the result of a horizontal transfer event.

Abstract: A method and system for determining whether a sequence fragment g is atypical with respect to a reference sequence G using compositional methods and including constructing a template from G and g respectively containing a sequence of characters for a comparison with one another, wherein a number of characters contained in the template exceeds two. For the case where the sequences at hand are genetic, the atypicality detection can be used to determine whether a given sequence fragment g is the result of a horizontal transfer event.

Abstract: A method and system for determining whether a sequence fragment g is atypical with respect to a reference sequence G using compositional methods and including constructing a template from G and g respectively containing a sequence of characters for a comparison with one another, wherein a number of characters contained in the template exceeds two. For the case where the sequences at hand are genetic, the atypicality detection can be used to determine whether a given sequence fragment g is the result of a horizontal transfer event.

Abstract: Techniques for linking non-coding and gene coding regions of a genome are provided. In one aspect, a method of determining associations between non-coding sequences and gene coding sequences in a genome of an organism comprises the following steps. At least one conserved region is identified from one or more non-coding sequences. Additional instances of the conserved region are located in the untranslated or amino acid coding regions of one or more genes in the organism under consideration, and the conserved region is associated with the one or more biological processes in which these one or more genes participate.

Abstract: Techniques for linking non-coding and gene coding regions of a genome are provided. In one aspect, a method of determining associations between non-coding sequences and gene coding sequences in a genome of an organism comprises the following steps. At least one conserved region is identified from one or more non-coding sequences. Additional instances of the conserved region are located in the untranslated or amino acid coding regions of one or more genes in the organism under consideration, and the conserved region is associated with the one or more biological processes in which these one or more genes participate.

Abstract: Techniques for linking non-coding and gene coding regions of a genome are provided. In one aspect, a method of determining associations between non-coding sequences and gene coding sequences in a genome of an organism comprises the following steps. At least one conserved region is identified from one or more non-coding sequences. Additional instances of the conserved region are located in the untranslated or amino acid coding regions of one or more genes in the organism under consideration, and the conserved region is associated with the one or more biological processes in which these one or more genes participate.

Abstract: A method and system for determining whether a sequence fragment g is atypical with respect to a reference sequence G using compositional methods and including constructing a template from G and g respectively containing a sequence of characters for a comparison with one another, wherein a number of characters contained in the template exceeds two. For the case where the sequences at hand are genetic, the atypicality detection can be used to determine whether a given sequence fragment g is the result of a horizontal transfer event.