@mmerfff

Merve Nur Güler

 institute of genomics, tartu
instagram.com/mmerff
Joined September 2011
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Our RECOMB paper is now out. When epistasis is involved, GWAS can produce spurious associations due to correlation with the interaction terms. We show that this can happen even when interaction effects are small and it gets worse with larger sample sizes. journals.sagepub.com/doi/10.…

Bias in Genome-Wide Association Test Statistics Due to Omitted Interactions - Burak Yelmen, Merve...

Over the past two decades, genome-wide association studies (GWAS) enabled the discovery of thousands of variants associated with many complex human traits. Howe...

journals.sagepub.com
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Our preprint is now online 🎉 We explored covariate-aware genomic prediction of blood metabolite profiles using multi-task neural networks. Many thanks to my supervisors and co-authors! biorxiv.org/content/10.64898…

Covariate-aware genomic prediction of blood metabolite profiles using multi-task neural networks

Circulating metabolites capture clinically relevant physiological variation and contribute to disease aetiology yet are mostly studied as biomarkers rather than prediction targets. Although genome-...

biorxiv.org
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Labımızın değerlisi @mmerfff aşağıdaki videosuyla Estonya'da Artur Lind Ödülü almış. Videosu burada 👇 youtu.be/gyKnW7yjMhY?si=7HMd… – at Datça, Türkiye

The Code

Gene Forum 2025 Artur Lind Scholarship - Human and Artificial Intel...

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Labımızın mezunu Merve Nur Güler'in (@mmerfff) hazırladığı "The Code" isimli videoya göz atmanızı öneririm. Büyük ödüllü, "Gene Forum 2025 Artur Lind Scholarship - Human and Artificial Intelligence in Science in 2035 - Grand Prize" youtu.be/gyKnW7yjMhY?si=xmrL…

The Code

Gene Forum 2025 Artur Lind Scholarship - Human and Artificial Intel...

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Our genetic kinship estimation tool using deep learning is just out: onlinelibrary.wiley.com/doi/… Our models trained on simulated data work effectively on real data from diverse backgrounds and often better than available tools. Congratulations @mmerfff and team!

DeepKin: Predicting Relatedness From Low‐Coverage Genomes and Palaeogenomes With Convolutional...

DeepKin is a novel tool designed to predict relatedness from genomic data using convolutional neural networks (CNNs). Traditional methods for estimating relatedness often struggle when genomic data...

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Our genetic kinship estimation tool “DeepKin” is now available! Our neural network models trained on simulated data work effectively on real ancient data from diverse backgrounds and often outperform available tools. onlinelibrary.wiley.com/doi/…

DeepKin: Predicting Relatedness From Low‐Coverage Genomes and Palaeogenomes With Convolutional...

DeepKin is a novel tool designed to predict relatedness from genomic data using convolutional neural networks (CNNs). Traditional methods for estimating relatedness often struggle when genomic data...

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Replying to @UniOfSurrey
@UniOfSurrey @eshgsociety The Intro to analysis of #GWAS #course is in its final day! Both Attendees and Teaching staff are excited about a great potential of #humangenetics to advance our knowledge about health/disease! Hope, this training will contribute to excellent research!
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Replying to @eshgsociety
@eshgsociety "Intro into GWAS analysis" online live course started this morning. Look at the many happy faces of teaching staff and attendees!⚡️We will have five days of lectures and computer-based workshops!⌨️
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Save the date 📢 EEBST2025 will be held from July 9 to 11 at Hacettepe University , Ankara. Looking forward!
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An age-specific burial practice reflected in ancient DNA preservation in Neolithic Çatalhöyük biorxiv.org/content/10.1101/…

An age-specific burial practice reflected in ancient DNA preservation in Neolithic Çatalhöyük

Selective funerary practices can inform about social relationships in prehistoric societies but are often difficult to discern. Here we present evidence for an age-specific practice at the Neolithic...

biorxiv.org
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18 Aralık Çarşamba günü Türkiye saati ile 19.30da, derneğimizin en iyi doktora tezi ödülünü kazanan Ercan Sıkdokur’un, Türkiyedeki bozayıların çeşitli ekolojik boyutlarını ele alan sunumunu dinleyeceğiz, hepinizi bekliyoruz! youtube.com/live/vUG4t_mn4Vk…
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Our new study on f-stats🧬🧬
CompEvo & HumanG Labs@CompEvoMetu25 Sep 2024
Our paper on sister repulsion is out! This is a story about how population genetics statistics can sometimes yield unexpected patterns when the real demographic history is complex. academic.oup.com/genetics/ad…

An explanation for the sister repulsion phenomenon in Patterson's f-statistics

Abstract. Patterson's f-statistics are among the most heavily utilized tools for analyzing genome-wide allele frequency data for demographic inference. Bey

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Check out @gozddeatag's new paper! @CompEvoMetu @MSomel academic.oup.com/genetics/ad…

An explanation for the sister repulsion phenomenon in Patterson's f-statistics

Abstract. Patterson's f-statistics are among the most heavily utilized tools for analyzing genome-wide allele frequency data for demographic inference. Bey

academic.oup.com
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Imagine doing all the research, writing, and peer reviews for free, only for publishers to charge insane fees to access YOUR work. How is this still a thing? lieffcabraser.com/antitrust/…
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The READv2 paper, the outcome of @masterolojist 's MSc thesis is now out 🥳: "READv2: advanced and user-friendly detection of biological relatedness in archaeogenomics" genomebiology.biomedcentral.… Congrats to Erkin and everyone else involved!! 🧵 (1/2)

READv2: advanced and user-friendly detection of biological relatedness in archaeogenomics

Genome Biology - The advent of genome-wide ancient DNA analysis has revolutionized our understanding of prehistoric societies. However, studying biological relatedness in these groups requires...

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🎉 Exciting news! 🎉 Our paper is online! Merve led this amazing work.
merve@mmerfff10 Aug 2024
Our latest preprint 👊 DeepKin: Predicting relatedness from low-coverage genomes and paleogenomes with convolutional neural networks biorxiv.org/content/10.1101/…

DeepKin: Predicting relatedness from low-coverage genomes and paleogenomes with convolutional...

DeepKin is a novel tool designed to predict relatedness from genomic data using convolutional neural networks (CNNs). Traditional methods for estimating relatedness often struggle when genomic data...

biorxiv.org
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Our latest preprint 👊 DeepKin: Predicting relatedness from low-coverage genomes and paleogenomes with convolutional neural networks biorxiv.org/content/10.1101/…

DeepKin: Predicting relatedness from low-coverage genomes and paleogenomes with convolutional...

DeepKin is a novel tool designed to predict relatedness from genomic data using convolutional neural networks (CNNs). Traditional methods for estimating relatedness often struggle when genomic data...

biorxiv.org
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10th Ecology and Evolutionary Biology Symposium Turkey has just started! #EEBST2024
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Our latest preprint: paleogenomic insights about the mothers and daughters of Çatalhöyük biorxiv.org/content/10.1101/…

Female lineages and changing kinship patterns in Neolithic Çatalhöyük

Arguments have long suggested that the advent of early farming in the Near East and Anatolia was linked to a ‘Mother Goddess’ cult. However, evidence for a dominant female role in these societies has...

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