专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20170249422A1 CROSS PLATFORM TRANSFORMATION OF GENE EXPRESSION DATA 审中-公开
公开(公告)号：US20170249422A1
公开(公告)日：2017-08-31
申请号：US15518257
申请日：2015-10-16
申请人： KONINKLIJKE PHILIPS N.V.
发明人： YEE HIM CHEUNG , WILHELMUS FRANCISCUS JOHANNES VERHAEGH , NEVENKA DIMITROVA
IPC分类号： G06F19/28 , G06N99/00 , G06F19/00 , C12N15/10 , G06F17/30
CPC分类号： G16B50/00 , C12N15/1089 , G06F16/258 , G06N20/00 , G16H50/50
摘要： Data-driven generalized regression-based frameworks that support the transformation of measurements, applicable but not limited to gene expressions, from one platform to another over a wide dynamic range, with selected summary statistics/feature values as predictors for the model parameters. The framework consists of primary model training and transformation, and additional levels of categorical regression and transformation processes.

2. 发明申请

US20170068826A1 GENOMIC INFORMATICS SERVICE 审中-公开
标题翻译：基本信息服务
公开(公告)号：US20170068826A1
公开(公告)日：2017-03-09
申请号：US15307843
申请日：2015-04-24
申请人： KONINKLIJKE PHILIPS N.V. , INTERTRUST TECHNOLOGIES CORPORATION
发明人： NEVENKA DIMITROVA , WILLIAM KNOX CAREY , RAYMOND J. KRASINSKI , JARL NILSSON , BART GRANTHAM , ALEXANDER RYAN MANKOVICH , VARTIKA AGRAWAL
IPC分类号： G06F21/62 , G06F19/00 , G06F21/32
CPC分类号： G06F21/6245 , G06F21/32 , G16B50/00 , G16H10/60
摘要： Methods and apparatus for a secure framework for storing and analyzing genomic data. Embodiments of the present invention apply persistent governance to sensitive information and to the analytics that operate upon it, managing the interaction between the two.
摘要翻译：用于存储和分析基因组数据的安全框架的方法和装置。本发明的实施例将持续治理应用于敏感信息和对其进行操作的分析，管理两者之间的相互作用。

3. 发明申请

US20210158902A1 SYSTEM AND METHOD FOR ALLELE INTERPRETATION USING A GRAPH-BASED REFERENCE GENOME 有权
公开(公告)号：US20210158902A1
公开(公告)日：2021-05-27
申请号：US17058171
申请日：2019-05-20
申请人： KONINKLIJKE PHILIPS N.V.
发明人： YONG MAO , KOSTYANTYN VOLYANSKYY , NEVENKA DIMITROVA
IPC分类号： G16B45/00 , G16B30/10 , G16B30/20
摘要： A method (100) for generating a graph-based reference genome, comprising: (i) receiving (120) one or more older versions of a current reference genome, each comprising a plurality of nodes identifying the version of the reference genome and a location within that version for the respective node; (ii) aligning (130) each older version of the reference genome to the current reference genome to generate a graph-based reference genome, wherein the alignment is based on the location information; (iii) extracting (140), from a corpus of references, an allele and contextual information associated with the allele, wherein the respective reference identifies the version of the reference genome and a location of the allele within the version; and (iv) mapping (150) the allele and associated contextual information onto a node of the graph-based reference genome, based on the identified version of the reference genome and the location of the extracted allele within that version.

4. 发明申请

US20170286597A1 METHODS AND SYSTEMS FOR VISUALIZING GENE EXPRESSION DATA 审中-公开
公开(公告)号：US20170286597A1
公开(公告)日：2017-10-05
申请号：US15507275
申请日：2015-08-17
申请人： KONINKLIJKE PHILIPS N.V.
发明人： ALEXANDER RYAN MANKOVICH , NEVENKA DIMITROVA , VARTIKA AGRAWAL , NILANJANA BANERJEE
IPC分类号： G06F19/26 , G06F19/20 , G01N33/50 , C12Q1/68 , G01N33/48
CPC分类号： G16B45/00 , C12Q1/68 , G01N33/48 , G01N33/50 , G06F19/00 , G16B25/00
摘要： Methods and systems for visualizing gene expression data in a way that permits the comparison of different patient groups to facilitate medical applications, including cancer diagnostics and treatment planning, particularly breast cancer. The method organises gene expression data for at least one patient into a plurality of windows of a specified size, calculates an average RSEM score for all of the genes in each window and presents the average RSEM scores in a two-dimensional array, wherein one axis organises the windows by patient and the other axis organises the windows by sequence.

5. 发明申请

US20200152292A1 ANTIBIOTIC RESISTANCE CAUSATION IDENTIFICATION 审中-公开
公开(公告)号：US20200152292A1
公开(公告)日：2020-05-14
申请号：US16745414
申请日：2020-01-17
申请人： KONINKLIJKE PHILIPS N.V.
发明人： KARTHIKEYAN MURUGESAN , NEVENKA DIMITROVA , HENRY LIN , PRAMOD MAYIGOWDA
IPC分类号： G16B30/00 , C12Q1/689 , G16B45/00 , G16B20/00
摘要： A system to identify genes that confer antibiotic resistance, comprising: a processor configured to: (i) identify a set of genes present in a sample of genome sequences sequenced from potentially pathogenic isolates; (ii) generate a genome sequence without the identified set of genes; (iii) generate a gene presence-absence matrix listing the genes present in each of the genome sequences, comprising an identification of each of the plurality of genes and an identification of each of the plurality of genome sequences, and comprising an identification of whether each of the genome sequences is obtained from an organism resistant to at least one antibiotic, and further comprising an identification of either presence or absence of the respective gene within the respective genome sequence; and (iv) identify at least one gene or mutation in the plurality of genome sequences associated with antibiotic resistance; and a user interface configured to provide a report.

6. 发明申请

US20170262579A1 SECURE TRANSMISSION OF GENOMIC DATA 审中-公开
公开(公告)号：US20170262579A1
公开(公告)日：2017-09-14
申请号：US15529109
申请日：2015-11-18
申请人： KONINKLIJKE PHILIPS N.V.
发明人： VARTIKA AGRAWAL , NEVENKA DIMITROVA , RAYMOND J. KRASINSKI
IPC分类号： G06F19/18 , G06F19/28 , G06F21/62 , G06F21/60 , H04L29/06
CPC分类号： G16B20/00 , G06F21/606 , G06F21/6245 , G16B30/00 , G16B50/00 , G16H10/60 , H03M7/30 , H03M7/3059 , H04L63/0428
摘要： The amount of genomic data as well the sensitivity of the information carried necessitates the need to develop smart and efficient ways to transmit genomic data in a secure way. While encryption schemes exist, there is also the need to first reduce the amount of massive information and then apply an encoding and encryption method that will be effective both in the economic sense as well as for security of genomic data. In this invention, we discuss novel techniques to encode processed variant information and send it across to a remote site ensuring covert transmission. The protocols not only encode and encrypts the information; it condenses the information that needs to be transferred.

7. 发明申请

US20150310632A1 INTEGRATED PHENOTYPING EMPLOYING IMAGE TEXTURE FEATURES 有权
标题翻译：集成的相机采用图像纹理特征
公开(公告)号：US20150310632A1
公开(公告)日：2015-10-29
申请号：US14443786
申请日：2013-10-25
申请人： KONINKLIJKE PHILIPS N.V.
发明人： NILANJANA BANERJEE , NEVENKA DIMITROVA , VINAY VARADAN , SITHARTHAN KAMALAKARAN , ANGEL JANEVSKI , SAYAN MAITY
IPC分类号： G06T7/40 , G06K9/62
CPC分类号： G06T7/45 , G06K9/6267 , G06T2207/10088 , G06T2207/30068
摘要： Image texture feature values are computed for a set of image texture features from an image of an anatomical feature of interest in a subject, and the subject is classified respective to a molecular feature of interest based on the computed image texture feature values. The image texture feature values may be computed from one or more gray level co-occurrence matrices (GLCMs), and the image texture features may include Haralick and/or Tamura image texture features. To train the classifier, reference image texture feature values are computed for at least the set of image texture features from images of the anatomical feature of interest in reference subjects. The reference image texture feature values are divided into different population groups representing different values of the molecular feature of interest, and the classifier is trained to distinguish between the different population groups based on the reference image texture feature values.
摘要翻译：根据受试者感兴趣的解剖学特征的图像，针对一组图像纹理特征计算图像纹理特征值，并且基于所计算的图像纹理特征值将对象分类为感兴趣的分子特征。可以从一个或多个灰度共生矩阵（GLCM）计算图像纹理特征值，并且图像纹理特征可以包括Haralick和/或Tamura图像纹理特征。为了训练分类器，参考图像纹理特征值是从参考对象中感兴趣的解剖特征的图像中计算至少一组图像纹理特征。将参考图像纹理特征值分成表示不同分子特征值的不同群体组，并且根据参考图像纹理特征值对分类器进行训练以区分不同群体组。

8. 发明申请

US20160070858A1 VISUALIZING GENOMIC DATA 审中-公开
标题翻译：可视化基因数据
公开(公告)号：US20160070858A1
公开(公告)日：2016-03-10
申请号：US14842928
申请日：2015-09-02
申请人： KONINKLIJKE PHILIPS N.V.
发明人： ALEXANDER RYAN MANKOVICH , NEVENKA DIMITROVA
IPC分类号： G06F19/26 , G06F19/22
CPC分类号： G16B45/00 , G16B30/00
摘要： Clinical decision support visualization methods that use information, pathways, or inferred regulatory networks for the entire genome, transcriptome, exome, or methylome to highlight genomic activity to further the understanding of the clinical condition of a patient or to contrast different patient groups.
摘要翻译：临床决策支持可视化方法，使用信息，途径或推断的整个基因组，转录组，外显子或甲基化的调节网络来突出基因组活动，以进一步了解患者的临床状况或对比不同的患者群体。

9. 发明申请

US20130308872A1 METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR COMPRESSION AND DECOMPRESSION OF AN IMAGE DATASET 有权
标题翻译：方法，装置和计算机程序产品用于图像数据的压缩和分解
公开(公告)号：US20130308872A1
公开(公告)日：2013-11-21
申请号：US13947584
申请日：2013-07-22
申请人： KONINKLIJKE PHILIPS N.V.
发明人： HARSH DHAND , NEVENKA DIMITROVA , HANSRAJ MISRA
IPC分类号： G06T9/00
CPC分类号： G06T9/00 , H03M7/30
摘要： A method for compression and/or decompression of bio-medical images such as DNA sequencing images is provided. The method comprises regeneration of a complete image using multiple distribution functions generated on the fly. The compression ratio achieved is in the order of 10 to 20 times, and is near lossless with respect to the clinically relevant information; which makes it well suited for these DNA sequencing images.
摘要翻译：提供了用于生物医学图像的压缩和/或解压缩的方法，例如DNA测序图像。该方法包括使用在飞行中产生的多个分布函数来再现完整图像。实现的压缩比约为10〜20倍，临床相关信息接近无损; 这使得它非常适合这些DNA测序图像。

10. 发明申请

US20170364633A1 METHODS AND SYSTEMS TO GENERATE NONCODING-CODING GENE CO-EXPRESSION NETWORKS 审中-公开
公开(公告)号：US20170364633A1
公开(公告)日：2017-12-21
申请号：US15533407
申请日：2015-12-07
申请人： KONINKLIJKE PHILIPS N.V.
发明人： NILANJANA BANERJEE , NEVENKA DIMITROVA , SONIA CHOTHANI , WILHELMUS FRANCISCUS JOHANNES VERHAEGH , YEE HIM CHEUNG
IPC分类号： G06F19/20 , G06F19/12 , C12Q1/68 , G06F19/18
CPC分类号： G16B25/00 , C12Q1/6876 , C12Q1/6883 , C12Q2600/112 , C12Q2600/118 , C12Q2600/158 , C12Q2600/178 , G16B5/00 , G16B20/00
摘要： A method of identifying co-expressed coding and noncoding genes is disclosed. The method may include receiving genetic sequences, mapping the genetic sequences to known coding and noncoding genes, correlating the mapped genes, and generating a co-expression network. A system for generating a co-expression network and providing the co-expression network to a user on a display is disclosed. The system may include a memory, one or more processors, one or more databases, and a display.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式