The genetic basis of major depression

KM Kendall, E Van Assche, TFM Andlauer… - Psychological …, 2021 - cambridge.org
Major depressive disorder (MDD) is a common, debilitating, phenotypically heterogeneous
disorder with heritability ranges from 30% to 50%. Compared to other psychiatric disorders …

A review of deep learning applications in human genomics using next-generation sequencing data

WS Alharbi, M Rashid - Human Genomics, 2022 - Springer
Genomics is advancing towards data-driven science. Through the advent of high-throughput
data generating technologies in human genomics, we are overwhelmed with the heap of …

Reviewing the genetics of heterogeneity in depression: operationalizations, manifestations and etiologies

N Cai, KW Choi, EI Fried - Human molecular genetics, 2020 - academic.oup.com
With progress in genome-wide association studies of depression, from identifying zero hits
in~ 16 000 individuals in 2013 to 223 hits in more than a million individuals in 2020 …

Applications of deep learning in understanding gene regulation

Z Li, E Gao, J Zhou, W Han, X Xu, X Gao - Cell Reports Methods, 2023 - cell.com
Gene regulation is a central topic in cell biology. Advances in omics technologies and the
accumulation of omics data have provided better opportunities for gene regulation studies …

Review of deep learning-based methods for non-destructive evaluation of agricultural products

Z Li, D Wang, T Zhu, Y Tao, C Ni - Biosystems Engineering, 2024 - Elsevier
Deep Learning (DL) has emerged as a pivotal modelling tool in various domains because of
its proficiency in learning distributed representations. Numerous DL algorithms have …

Recent advances in artificial intelligence, mechanistic models, and speed breeding offer exciting opportunities for precise and accelerated genomics‐assisted …

JA Bhat, X Feng, ZA Mir, A Raina… - Physiologia …, 2023 - Wiley Online Library
Given the challenges of population growth and climate change, there is an urgent need to
expedite the development of high‐yielding stress‐tolerant crop cultivars. While traditional …

What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics

AM Musolf, ER Holzinger, JD Malley, JE Bailey-Wilson - Human Genetics, 2022 - Springer
Genetic data have become increasingly complex within the past decade, leading
researchers to pursue increasingly complex questions, such as those involving epistatic …

DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction

PB Chandrashekar, S Alatkar, J Wang, GE Hoffman… - Genome Medicine, 2023 - Springer
Background Genotypes are strongly associated with disease phenotypes, particularly in
brain disorders. However, the molecular and cellular mechanisms behind this association …

Autosomal sex-associated co-methylated regions predict biological sex from DNA methylation

E Gatev, AM Inkster, GL Negri, C Konwar… - Nucleic Acids …, 2021 - academic.oup.com
Sex is a modulator of health that has been historically overlooked in biomedical research.
Recognizing this knowledge gap, funding agencies now mandate the inclusion of sex as a …

Map of epigenetic age acceleration: a worldwide analysis

I Yusipov, A Kalyakulina, A Trukhanov… - Ageing Research …, 2024 - Elsevier
We present a systematic analysis of epigenetic age acceleration based on by far the largest
collection of publicly available DNA methylation data for healthy samples (93 datasets, 23 K …