469 results about "Expression analysis" patented technology

The present invention provides methods and compositions for the analysis of gene expression in single cells or in a plurality of single cells. The invention provides methods for preparing a cDNA library from individual cells by releasing mRNA from each single cell to provide a plurality of individual mRNA samples, synthesizing cDNA from the individual mRNA samples, tagging the individual cDNA, pooling the tagged cDNA samples and amplifying the pooled cDNA samples to generate a cDNA library. The invention also provides a cDNA library produced by the methods described herein. The invention farther provides methods for analyzing gene expression in a plurality of cells by preparing a cDNA library as described herein and sequencing the library.

Presented herein are methods and compositions for multiplexed single cell gene expression analysis. Some methods and compositions include the use of droplets and / or beads bearing unique barcodes such as unique molecular barcodes (UMI).

The invention relates to methods and compositions for microRNA expression analysis using microarrays.

The present invention relates to a system and method for implementing an assistive emotional companion for a user, wherein the system is designed for capturing emotional as well as performance feedback of a participant participating in an interactive session either with a system or with a presenter participant and utilizing such feedback to adaptively customize subsequent parts of the interactive session in an iterative manner. The interactive presentation can either be a live person talking and / or presenting in person, or a streaming video in an interactive chat session, and an interactive session can be a video gaming activity, an interactive simulation, an entertainment software, an adaptive education training system, or the like. The physiological responses measured will be a combination of facial expression analysis, and voice expression analysis. Optionally, other signals such as camera based heart rate and / or touch based skin conductance may be included in certain embodiments.

The present invention provides methods for diagnosis and prognosis of cancer stem cells (CSC) using expression analysis of one or more groups of genes, and a combination of expression analysis from a biological sample from the subject. The methods of the invention provide a method for accuracy detecting cancer stem cells in a population of cancer cells. The invention also provides methods and kits for diagnosis and prognosis of cancer in a subject using cancer stem cell biomarker expression analysis.

The invention provides a method for detecting and tracing three-dimension face action based on video stream. The method include steps as follows: detecting face and a key point position on the face; initializing the three-dimension deformable face gridding module and face texture module used for tracing; processing real time, continuous trace to the face position, gesture and face action in follow video image by using image registering with two modules; processing evaluation to the result of detection, location and tracking by using a PCl face sub-space, if finding the trace is interrupted, adopting measure to restore trace automatically. The method does not need to train special user, has wide head gesture tracing range and accurate face action detail, and has certain robustness to illumination and shelter. The method has more utility value and wide application prospect in the field, such as human-computer interaction, expression analysis, game amusement.

The present invention provides methods and compositions that enable tagging and amplification of targeted RNA molecules. A targeted RNA molecule is any non-polyadenylated RNA molecule including, for example, miRNA, siRNA, rRNA, tRNA, synthetic RNA, or non-polyadenylated mRNA such as mRNA from bacteria. In certain aspects, the invention provides methods and compositions for the genome-wide expression analysis of bacterial genes. Significantly, the methods enable genome-wide expression analysis in circumstances where bacterial numbers were previously too low to purify adequate amounts of RNA for DNA microarray analysis or other applications. Such methods are particularly useful for the study of bacterial gene expression during host-cell infection. The invention also provides kits for tagging and amplifying targeted RNA molecules.

The invention provides an expression interaction method based on face tracking and analysis, belonging to the field of figure and image processing and computer vision. The method comprises the following steps of: collecting an expression image of a face by a camera; carrying out analysis processing on a captured face image in time according to a face tracking and expression analysis technology, so as to track the face and extract expression parameters; and then driving a target three-dimensional face model according to the extracted expression parameters to do same expression animations. The expression interaction method provided by the invention has the advantages of strong automation, robustness and interactivity and is applicable to the fields of film production, three-dimensional games, interactive multimedia and the like.

The invention relates to a method for analyzing facial expressions on the basis of motion tracking, in particular to a technique for face multi-feature tracking and expression recognition. The method comprises the following steps: pre-processing an inputted video image, and carrying out the face detection and face principle point location to determine and normalize the position of the face; modeling the face and expressions by using a three-dimensional parametric face mesh model, extracting the robust features and tracking the positions, gestures and expressions of the face in the inputted video image by combining the online learning method, so as to achieve the rapid and effective face multi-feature tracking; and taking the tracked expression parameters as the features for expression analysis; and carrying out the expression analysis by using an improved fuzzy clustering algorithm based on Gaussian distance measurement, so as to provide the fuzzy description of the expression.

A method for determining the presence of multiple nucleotide sequences of interest in multiple samples while preserving the identity of each sample, by contacting the samples with a plurality of probe sets. The probes are designed to indicate the presence of the sequences of interest and the identity of the sample containing the sequence of interest in complex mixtures. Applications of the method include genotyping, expression analysis, and identification of individual species in complex samples. Kits of probe sets for use in the methods are also provided.

A method for simultaneously determining a genetic expression profile for an individual member of a species relative to an entire standard genome for the species. The method can comprise distributing a liquid sample into an array of reaction chambers of a substrate. The array can comprise a primer set and a probe for each polynucleotide target along the entire standard genome. The liquid sample can comprise substantially all genetic material of the member. Each of the reaction chambers can comprise the primer set and the probe for at least one of the polynucleotide targets and a polymerase. The method can further comprise amplifying the liquid sample in the array, detecting a signal emitted by at least one of the probes, and identifying the genetic expression profile in response to the signal.

Described herein are methods for co-expression analysis of multiple markers in a tissue sample comprising: computing a heat map of marker expression for each of a plurality of single marker channel images, wherein each of the plurality of single marker channel images comprise a single marker; identifying one or more candidate regions of interest in each heat map of marker expression; computing overlay masks comprising the identified one or more candidate regions of interest from each heat map of marker expression; determining one or more co-localized regions of interest from the overlay masks; mapping the one or more co-localized regions of interest to a same coordinate position in each of the plurality of single marker channel images; and estimating a number of cells in at least one of the determined one or more co-localized regions of interest in each of the plurality of single marker channel images.

The invention provides application of a tobacco NtNAC096 gene in control tobacco aging, belonging to the field of tobacco biological control. The tobacco NtNAC096 gene can be used for regulating and controlling the aging of tobaccos significantly. The full length of a DNA sequence of a genome using the tobacco NtNAC096 gene c is 1203bp, and the genome consists of 3 exons and 2 introns. The application specifically comprises the following steps: (1) cloning the tobacco NtNAC096 gene, and performing sequence analysis; (2) performing expression analysis on the NtNAC096 gene; (3) performing function analysis on the tobacco NtNAC096 gene by establishing an over-expression vector of the tobacco NtNAC096 gene; and (4) designing target sites of the tobacco NtNAC096 gene by using a CRISPR / Cas9 gene editing technology, establishing a NtNAC096 gene knockout vector, and performing genetic transformation on a tobacco variety, thereby obtaining a tobacco plant capable of delaying aging.

The invention relates to a new face-iris combination identifying method-characteristic layer extraction and combination. A face-iris characteristic extraction layer combining system is established according to nerve network, evolution calculation and fuzzy theory. For structure design, full and local geometry topological structure is adopted. A particle-group optimizing arithmetic is utilized to optimize network control parameters. When the characteristics of the face and the iris image are extracted, techniques of a super-resolution image reinforcing arithmetic, an illumination compensating arithmetic based on improved spherical harmonic function, gesture estimation based on linear relevant filters, Candide model based on a three-dimensional face and expression analysis based on an ASM arithmetic, etc., are adopted to robustly extract the eigenvectors of the face and the iris, and a self-developed double face-iris collecting device is also adopted to collect images of the face and the iris image. The method not only can establish a new system which is provided with learning capability and can automatically choose optimal network topological structure and automatically regulate net control parameters, but also can overcome and reduce the bad impacts of factors of environment and physiology, etc., during the extraction process to the independent characteristics of the face and the iris, thus effectively enhancing the identifying rate of the face-iris combination identification and promoting the system performance based on the face-iris combination identification to develop towards practical, reliable and acceptable directions.

A method for simultaneously determining a genetic expression profile for an individual member of a species relative to an entire standard genome for the species. The method can comprise distributing a liquid sample into an array of reaction chambers of a substrate. The array can comprise a primer set and a probe for each polynucleotide target along the entire standard genome. The liquid sample can comprise substantially all genetic material of the member. Each of the reaction chambers can comprise the primer set and the probe for at least one of the polynucleotide targets and a polymerase. The method can further comprise amplifying the liquid sample in the array, detecting a signal emitted by at least one of the probes, and identifying the genetic expression profile in response to the signal.

The invention discloses an electronic-commerce recommendation method based on the user expression analysis, mainly comprising the following steps: starting an application program of a handheld side by a user to log into an electronic-commerce website to browse commodities and shop; starting a camera of handheld equipment by the application program to capture images of the user; analyzing the images to obtain the information on the expression of the user; and amending the recommendation result or algorithm according to the feedback of the expression of the user to obtain and finally recommend the commodities satisfying the demand of the user to the user.

The present invention is directed to the identification of markers that can be used to determine the sensitivity of cancer cells to a therapeutic agent. The present invention is also directed to the identification of therapeutic targets. Nucleic acid arrays were used to determine the level of expression of sequences (genes) found in 60 different solid tumor cancer cell lines selected from the NCI 60 cancer cell line series. Expression analysis was used to identify markers associated with sensitivity to certain chemotherapeutic agents.

The invention provides chitinase gene sequences and application of dsRNA thereof, which can silence specific chitinase genes and make insects die of retarded development. By cloning, sequencing and analyzing expression of the chitinase genes of a plurality of locusta migratoria manilensis, the chitinase genes with a sequence of SEQ IDNO:1 are obtained; and the chitinase genes with sequences of SEQ ID NO:2 and SEQ ID NO:3 are selected and used for synthesizing the dsRNA. After the dsRNA is injected into a coelom of an insect, the insect shows difficult molting in the development process and dies. The chitinase gene sequences provide a basis for the effective prevention and control of the insects based on RNA interference, and provide a new approach for the development of a safe and pollution-free method for preventing and controlling the insects.

Various methods for written mathematical expression analysis are provided. One method may include receiving written input where the written input is representative of a mathematical expression. The method may also include analyzing the written input to identify at least one operator and at least one operand and constructing an expression tree based at least in part on predefined symbol relationships, the at least one operator, and the at least one operand. Similar apparatuses and computer program products are also provided.

The invention discloses an intelligent shooting method and a device based on intelligent composition and micro expression analysis. According to the method, the best composition angle is obtained through analysis of the preview image background of a camera, and prompt information is established. Thus, intelligent terminals can provide shooting suggestions for users, and users who do not have professional shooting skills can still find the best shooting angle. In addition, the micro facial expressions in a preview image are analyzed through a model trained in advance, so that a picture in accordance with the model threshold can be captured, and photos with closed eyes or weird facial expressions are avoided. On one hand, the method and the device can help users to enhance the shooting skill and shoot satisfactory photos. On the other hand, the method and the device can help users to capture a more desired expression, there is no need to delete unsatisfactory photos from a photo album manually, and the service experience of users is enhanced.

The invention relates to the technical field of biomedicine, and particularly relates to a method for constructing a genetic regulation network based on total-transcriptome high-throughput sequencing.The method comprises the steps that a disease related competitive endogenous RNA regulation network is constructed on the basis of total-transcriptome high-throughput sequencing data through the screening of differently expressed genes, lncRNA, circRNA and miRNA, the co-expression analysis of the genes, the lnc RNA and the circRNA and the miRNA combining target prediction, key genes in the regulation network are screened according to a random walking algorithm, the pathway in which the key genes are significantly enriched is determined through pathway enrichment analysis, and the biological mechanism of the key genes in the disease regulation process is analyzed combining with the genetic regulation relationship of the pathway. The invention provides methods for the verification of the disease related key genes and the construction of the regulation network of the key genes, and a novel approach is provided for the study of generating developing mechanisms of complicated diseases.

The invention provides an artificial intelligence video interview method and system. According to the intelligent video interview method and system, a video interview mode is adopted; expression analysis, sound analysis and analysis on answers of interview questions in the interview process are provided for job seekers through an artificial intelligence technology; the expression ability, the expression method, the matching degree with the post and the like of the job seeker can be automatically, accurately, comprehensively and efficiently evaluated; according to the method, the employer can be helped to screen the applicant according to the comprehensive evaluation result, the job seeker can fully understand the advantages and disadvantages in the interview process through feedback of comprehensive evaluation, pertinence is improved, the job seeker is helped to improve the quality of the job seeker, and the interview success rate is increased.

Provided are DNA microarray techniques that allow hybridization without RNA amplification, without using cDNA, and without labeling the nucleic acid prior to hybridization. Referred to as the Double-stranded Exonuclease Protection (DEP) assay, the technique permits the sample RNA to be used directly for hybridization, without manipulation in any way. Further provided is a microarray technique for high-throughput miRNA gene expression analyses, termed the RNA-primed, Array-based, Klenow Enzyme (RAKE) assay. The RAKE assay is a sensitive and specific technique for assessing single-stranded DNA and RNA targets, and offers specific advantages over Northern blots.

The embodiment of the invention discloses an image recognition method and a related device for recognizing a facial expression of an image. The method comprises steps: facial feature extraction is carried out on a target image, and facial information is obtained; normalized treatment is carried out on the facial information to obtain a first dimension feature coefficient; and the feature coefficient serves as an input parameter of an expression analysis model, and an expression analysis result of the target image is acquired according to the expression analysis model, wherein the expression analysis model is a linear fitting model for facial expression features obtained through expression feature training.

The invention relates to a synchronous detection method for common food-borne pathogens, in particular to a multiplex polymerase chain reaction (PCR) quick detection method for pathogens based on a GenomeLab TMGeXP multiplex gene expression analysis technology, and belongs to the technical field of biology. Amplification of specific primers is combined with amplification of general primers, a high annealing temperature for amplification of the specific primers is adopted in front 16 cycles of PCR amplification, the general primers are generally amplified in large scale in later 16 cycles, and the detection results are automatically read and analyzed by adopting the fragment analysis function of a genetic analysis system according to fluorescent signals of nucleic acid fragment length, so that a plurality of samples can be simultaneously detected, and a competition effect among the primers in common multiplex PCR amplification is effectively avoided. The invention aims to establish a quick method for detecting the food-borne pathogens with high flux, high reliability and high sensitivity.

The invention relates to a method for obtaining a capsicum phytophthora resistance candidate gene and a molecular marker, and application. The method is used for obtaining the capsicum phytophthora resistance candidate gene by utilizing capsicum phytophthora transcriptome and whole-genome sequencing data information, differentially-expressed gene identification, bioinformatics analysis, molecular marker development and phytophthora inoculation identification and belongs to the technical field of capsicum biology. The method comprises the following steps: sequencing a phytophthora resistant and susceptible gene pool transcriptome obtained after phytophthora inoculation of an F2 population constructed by capsicum highly-resistant and highly-susceptible phytophthora materials, performing expression analysis and functional annotation on differential genes, extracting DNAs (Desoxvribose Nucleic Acid) of a capsicum phytophthora highly-resistant and highly-susceptible phytophthora material genome, performing primer design and PCR (Polymerase Chain Reaction) amplification, performing sequence difference analysis and SNP site identification, performing SNP specific primer design and validity verification, and performing other steps to efficiently obtain the capsicum phytophthora resistance candidate gene and the molecular marker. According to the method, the capsicum phytophthora resistance candidate gene can be accurately identified, and the effective molecular marker can be developed.