Network-based machine learning approach to predict immunotherapy response in cancer patients
Immune checkpoint inhibitors (ICIs) have substantially improved the survival of cancer
patients over the past several years. However, only a minority of patients respond to ICI …
patients over the past several years. However, only a minority of patients respond to ICI …
Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is
essential for improving therapeutic outcomes. However, current machine-learning-based …
essential for improving therapeutic outcomes. However, current machine-learning-based …
Human and mouse essentiality screens as a resource for disease gene discovery
The identification of causal variants in sequencing studies remains a considerable
challenge that can be partially addressed by new gene-specific knowledge. Here, we …
challenge that can be partially addressed by new gene-specific knowledge. Here, we …
DeepPheno: predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier
M Kulmanov, R Hoehndorf - PLoS computational biology, 2020 - journals.plos.org
Predicting the phenotypes resulting from molecular perturbations is one of the key
challenges in genetics. Both forward and reverse genetic screen are employed to identify …
challenges in genetics. Both forward and reverse genetic screen are employed to identify …
Divergence of noncoding regulatory elements explains gene–phenotype differences between human and mouse orthologous genes
Mice have been widely used as a model organism to investigate human gene–phenotype
relationships based on a conjecture that orthologous genes generally perform similar …
relationships based on a conjecture that orthologous genes generally perform similar …
Ecological interaction networks. What we know, what we don't, and why it matters
Las especies que coexisten en las comunidades ecológicas interactúan de diferentes
modos y forman redes complejas. Presentamos una revisión de la creciente literatura sobre …
modos y forman redes complejas. Presentamos una revisión de la creciente literatura sobre …
Link clustering explains non-central and contextually essential genes in protein interaction networks
Recent studies have shown that many essential genes (EGs) change their essentiality
across various contexts. Finding contextual EGs in pathogenic conditions may facilitate the …
across various contexts. Finding contextual EGs in pathogenic conditions may facilitate the …
Genome-Wide Hepatoprotective Molecule Screening using Tissue-Specific Transcriptome Analyses of the White-Spotted Flower Chafer (Protaetia brevitarsis …
UW Hwang - 2024 - researchsquare.com
The white-spotted flower chafer (Protaetia brevitarsis seulensis) is widely distributed across
Asian countries and is used in traditional medicine to treat chronic fatigue, blood circulation …
Asian countries and is used in traditional medicine to treat chronic fatigue, blood circulation …
Redes de interacciones ecológicas: qué sabemos, qué no, y por qué importa
Las especies que coexisten en las comunidades ecológicas interactúan de diferentes
modos y forman redes complejas. Presentamos una revisión de la creciente literatura sobre …
modos y forman redes complejas. Presentamos una revisión de la creciente literatura sobre …
DeepPheno: Predicting single gene knockout phenotypes
M Kulmanov, R Hoehndorf - 2019 - repository.kaust.edu.sa
Predicting the phenotypes resulting from molecular perturbations is one of the key
challenges in genetics. Both forward and reverse genetic screen are employed to identify …
challenges in genetics. Both forward and reverse genetic screen are employed to identify …