JP2019532410A5 - - Google Patents

Download PDF

Info

Publication number
JP2019532410A5
JP2019532410A5 JP2019513943A JP2019513943A JP2019532410A5 JP 2019532410 A5 JP2019532410 A5 JP 2019532410A5 JP 2019513943 A JP2019513943 A JP 2019513943A JP 2019513943 A JP2019513943 A JP 2019513943A JP 2019532410 A5 JP2019532410 A5 JP 2019532410A5
Authority
JP
Japan
Prior art keywords
computer
genes
implemented method
kit
linc00599
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2019513943A
Other languages
English (en)
Japanese (ja)
Other versions
JP7022119B2 (ja
JP2019532410A (ja
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/EP2017/063073 external-priority patent/WO2018050299A1/en
Publication of JP2019532410A publication Critical patent/JP2019532410A/ja
Publication of JP2019532410A5 publication Critical patent/JP2019532410A5/ja
Priority to JP2022016224A priority Critical patent/JP7275334B2/ja
Application granted granted Critical
Publication of JP7022119B2 publication Critical patent/JP7022119B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2019513943A 2016-09-14 2017-05-30 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ Active JP7022119B2 (ja)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2022016224A JP7275334B2 (ja) 2016-09-14 2022-02-04 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201662394551P 2016-09-14 2016-09-14
US62/394,551 2016-09-14
PCT/EP2017/063073 WO2018050299A1 (en) 2016-09-14 2017-05-30 Systems, methods, and gene signatures for predicting a biological status of an individual

Related Child Applications (1)

Application Number Title Priority Date Filing Date
JP2022016224A Division JP7275334B2 (ja) 2016-09-14 2022-02-04 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ

Publications (3)

Publication Number Publication Date
JP2019532410A JP2019532410A (ja) 2019-11-07
JP2019532410A5 true JP2019532410A5 (enExample) 2020-07-16
JP7022119B2 JP7022119B2 (ja) 2022-02-17

Family

ID=59021473

Family Applications (2)

Application Number Title Priority Date Filing Date
JP2019513943A Active JP7022119B2 (ja) 2016-09-14 2017-05-30 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ
JP2022016224A Active JP7275334B2 (ja) 2016-09-14 2022-02-04 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ

Family Applications After (1)

Application Number Title Priority Date Filing Date
JP2022016224A Active JP7275334B2 (ja) 2016-09-14 2022-02-04 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ

Country Status (8)

Country Link
US (1) US20190244677A1 (enExample)
EP (1) EP3513344A1 (enExample)
JP (2) JP7022119B2 (enExample)
KR (2) KR102685289B1 (enExample)
CN (1) CN109643584A (enExample)
CA (1) CA3036597C (enExample)
MX (1) MX2019002316A (enExample)
WO (1) WO2018050299A1 (enExample)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102517328B1 (ko) * 2021-03-31 2023-04-04 주식회사 크라우드웍스 작업툴을 이용한 이미지 내 세포 분별에 관한 작업 수행 방법 및 프로그램
CN113159571B (zh) * 2021-04-20 2024-08-27 中国农业大学 一种跨境外来物种风险等级判定及智能识别方法及系统
CN116103392B (zh) * 2021-11-09 2026-06-26 中国医学科学院药物研究所 标志物sema6b在制备结直肠癌诊断及预后预测产品中的用途
JP2025529273A (ja) * 2022-09-02 2025-09-04 コーセプト セラピューティクス, インコーポレイテッド 選択的グルココルチコイド受容体調節を評価する方法、並びにグルココルチコイド受容体調節から利益を得る可能性が高い患者を特定及び治療する方法

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2316973A1 (en) * 2003-06-10 2011-05-04 The Trustees Of Boston University Detection methods for disorders of the lung
JP2006314315A (ja) 2005-05-10 2006-11-24 Synergenz Bioscience Ltd 肺の機能と異常を調べるための方法と組成物
JP2009529329A (ja) * 2006-03-09 2009-08-20 トラスティーズ オブ ボストン ユニバーシティ 鼻腔上皮細胞の遺伝子発現プロファイルを用いた、肺疾患のための診断および予後診断の方法
US20100055689A1 (en) 2008-03-28 2010-03-04 Avrum Spira Multifactorial methods for detecting lung disorders
EP3831954A3 (en) * 2008-11-17 2021-10-13 Veracyte, Inc. Methods and compositions of molecular profiling for disease diagnostics
JP2012518997A (ja) 2009-02-26 2012-08-23 ジ・オハイオ・ステイト・ユニバーシティ・リサーチ・ファウンデイション 喫煙未経験者におけるマイクロrna、ならびに関連する材料および方法
US20120245952A1 (en) * 2011-03-23 2012-09-27 University Of Rochester Crowdsourcing medical expertise
US20150178462A1 (en) * 2011-08-29 2015-06-25 Cardiodx, Inc. Methods and Compositions for Determining Smoking Status
US10329618B2 (en) * 2012-09-06 2019-06-25 Duke University Diagnostic markers for platelet function and methods of use
US11127486B2 (en) * 2013-12-16 2021-09-21 Philip Morris Products S.A. Systems and methods for predicting a smoking status of an individual
EP3916110A1 (en) * 2014-07-14 2021-12-01 Veracyte, Inc. Methods for evaluating lung cancer status
CN114606309A (zh) * 2014-11-05 2022-06-10 威拉赛特公司 使用机器学习和高维转录数据的诊断系统和方法

Similar Documents

Publication Publication Date Title
Lamarre et al. Optimization of an RNA-Seq differential gene expression analysis depending on biological replicate number and library size
Heller et al. The confounding effect of population structure on Bayesian skyline plot inferences of demographic history
Good et al. Genetic diversity in the interference selection limit
Meeyai Logistic regression with missing data: a comparisson of handling methods, and effects of percent missing values
Trivedi et al. Quality control of next-generation sequencing data without a reference
Michelsen et al. metaDMG–a fast and accurate ancient DNA damage toolkit for metagenomic data
Liu et al. Network assisted analysis to reveal the genetic basis of autism
Wang et al. Reference gene selection for cross-species and cross-ploidy level comparisons in Chrysanthemum spp.
Boulesteix et al. Added predictive value of high-throughput molecular data to clinical data and its validation
JP2012501181A5 (enExample)
CN113555062B (zh) 一种用于基因组碱基变异检测的数据分析系统及分析方法
CN103443809A (zh) 判别模型学习设备、方法和程序
Hill et al. A deep learning approach for detecting copy number variation in next-generation sequencing data
Pool Genetic mapping by bulk segregant analysis in Drosophila: experimental design and simulation-based inference
Yan et al. PhyloAcc-GT: a Bayesian method for inferring patterns of substitution rate shifts on targeted lineages accounting for gene tree discordance
Priel et al. Network representation of T-cell repertoire—a novel tool to analyze immune response to cancer formation
Flassig et al. An effective framework for reconstructing gene regulatory networks from genetical genomics data
MX2019002316A (es) Sistemas, metodos y perfiles geneticos para predecir un estado biologico de un individuo.
Mukherjee et al. Identifying progressive gene network perturbation from single-cell RNA-seq data
Pittis et al. On phylogenetic branch lengths distribution and the late acquistion of mitochondria
US11435357B2 (en) System and method for discovery of gene-environment interactions
Williams et al. Plant microRNA prediction by supervised machine learning using C5. 0 decision trees
Lin et al. Integrated rare variant-based risk gene prioritization in disease case-control sequencing studies
Dou et al. Differential Expression Analysis in RNA‐Seq by a Naive Bayes Classifier with Local Normalization
Liu et al. Genome-wide selection on transposable elements in maize