Explore tweets tagged as #TCGA
Drs. Jiawei Dai & Lajos Pusztai @YaleBreast show TCGA/BEAUTY data #SABCS25, germline changes hit cell cycle/DNA repair/telomeres, somatic mutations affect adhesion/metabolism/signaling. Their CanSys tool visualizes these pathway disruptions per patient. @SmilowCancer @OncoAlert
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🚨 Join our hands-on Cancer Genomics Workshop—learn mutation analysis, variant annotation & clinical interpretation using real TCGA/COSMIC data. Apply now: https://t.co/362Ms9bb1J
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Congratulations to Lady Cubs Brystel Wise, Madison Otter, and Taliyha Davenport for being selected to the TCGA All-State Volleyball Team.
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- cool read - They compared full features vs PCA reduced features on TCGA data using SVM & RF and PCA actually improved accuracy, precision, recall and F1. Also compared PCA with correlation based selection, RF importance & L1 regularization… and PCA still came out on top.
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「新型コロナ感染症の関連遺伝子変異（JUN、EGR1、NOTCH1、ヒストンH3変異体）は、TCGA癌データベースにおいて特定の癌（低悪性度膠芽腫、膀胱癌、副腎皮質癌）の予後不良と関連しており、これらの遺伝子が複合的に存在する場合、予後不良のシグナルを強化する。」
COVID-19 associated gene changes (JUN, EGR1, NOTCH1, and histone H3 variants) are linked in TCGA cancer databases to worse prognosis in certain cancers (low-grade gliomas, bladder cancer, and adrenocortical carcinoma), and when combined, these genes strengthen the negative
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自己愛タイプは漫画の読み方もひと味違う（笑） 【実録】漫画の読み方で自己愛タイプを見分ける｜山村アリス @TCGA169618 #年末の過ごし方 https://t.co/fbzqm6MzqA #自己愛 #黄金のガッシュ #いじめ #心理学
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PDO・KPCマウス・ヒト膵がん細胞株・TCGAを用い、EMP1が悪性度の高い“basal-like型”膵がんで高発現し、欠失で増殖・浸潤・転移・薬剤耐性が低下することを発見。 📗 https://t.co/cvt5I2TVEa #九州大学 #九大研究成果 #九大 #KyushuU
https://t.co/xKxDnijqfL
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H&E画像から、21種類のタンパク質マーカー（PD-L1, CD8, CD68など）発現を予測し仮想mIF画像を推論する「GigaTIME」を発表（Cell誌）��� 21人の肺がん患者のH&EとmIFのペアデータ4000万細胞分で学習し、CycleGANを凌駕。Providenceの1.4万人＋TCGAの1万人で検証し、空間的な免疫プロファイルを解明。
Open-source AI just leveled up cancer research. In collaboration with Providence and University of Washington, GigaTIME is helping scientists advance cancer research by flipping routine pathology slides into rich, virtual deep maps so they can explore more scenarios, faster
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Cancer genomics is transforming precision medicine, and mastering its tools is essential. 🧬 Learn mutational analysis, variant annotation & clinical interpretation using real datasets like COSMIC, TCGA & cBioPortal in our 4-Day Cancer Genomics Workshop 🔗 https://t.co/362Ms9bb1J
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COVID-19 associated gene changes (JUN, EGR1, NOTCH1, and histone H3 variants) are linked in TCGA cancer databases to worse prognosis in certain cancers (low-grade gliomas, bladder cancer, and adrenocortical carcinoma), and when combined, these genes strengthen the negative
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Vitamaze DE Amazon Omega 3 vegan & hochdosiert: 375 mg DHA & 125 mg EPA in nur 1 Kapsel, 1080 mg hochwertiges Algenöl für 1 Monat, höchste Bioverfügbarkeit Veganes A https://t.co/56bIntZnFs
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Zahra Hosseinpour et al. in Medical & Biological Engineering & Computing translate TCGA data into a 6-hub-gene logistic model that distinguishes breast tumors from normal tissue at 97 % sensitivity and 0.994 AUC without a single line of code. Learn more: https://t.co/68Oj5qEIHj
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Learn cancer genomics, mutation analysis, variant annotation, and clinical interpretation using real TCGA/COSMIC data in our hands-on workshop. Register: https://t.co/362Ms9bIRh
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TCGAのデータベースを使った病理AIの研究を計画します。癌腫が珍しいと結構面白いネタになると思います。
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Brandy - Have You Ever (Official Video) https://t.co/yN7JCJjQei via @YouTubeMusic
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@joleary @followdunc is TCGA really pushed so much more over TTS? I'm so hesitant to getting into using it but I think I'm just TTS pilled
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