Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets
Deconvolution of cell mixtures in “bulk” transcriptomic samples from homogenate human
tissue is important for understanding disease pathologies. However, several experimental …
tissue is important for understanding disease pathologies. However, several experimental …
Msh3 and Pms1 set neuronal CAG-repeat migration rate to drive selective striatal and cortical pathogenesis in HD mice
N Wang, S Zhang, P Langfelder, L Ramanathan… - bioRxiv, 2024 - biorxiv.org
Modifiers of Huntington's disease (HD) include mismatch repair (MMR) genes; however,
their underlying disease-altering mechanisms remain unresolved. Knockout (KO) alleles for …
their underlying disease-altering mechanisms remain unresolved. Knockout (KO) alleles for …
Powerful and accurate detection of temporal gene expression patterns from multi-sample multi-stage single-cell transcriptomics data with TDEseq
Y Fan, L Li, S Sun - Genome Biology, 2024 - Springer
We present a non-parametric statistical method called TDEseq that takes full advantage of
smoothing splines basis functions to account for the dependence of multiple time points in …
smoothing splines basis functions to account for the dependence of multiple time points in …
Population-level comparisons of gene regulatory networks modeled on high-throughput single-cell transcriptomics data
Single-cell technologies enable high-resolution studies of phenotype-defining molecular
mechanisms. However, data sparsity and cellular heterogeneity make modeling biological …
mechanisms. However, data sparsity and cellular heterogeneity make modeling biological …
Attention-based Multi-instance Mixed Models
Predicting patient features from single-cell data can unveil cellular states implicated in
health and disease. Linear models and average cell type expressions are typically favored …
health and disease. Linear models and average cell type expressions are typically favored …
Chromatin region binning of gene expression for improving embryo cell subtype identification
Mammalian embryonic development is a complex process, characterized by intricate
spatiotemporal dynamics and distinct chromatin preferences. However, the quick …
spatiotemporal dynamics and distinct chromatin preferences. However, the quick …
[HTML][HTML] Milk transcriptome biomarker identification to enhance feed efficiency and reduce nutritional costs in dairy ewes
In recent years, rising prices for high-quality protein-based feeds have significantly
increased nutrition costs. Consequently, investigating strategies to reduce these expenses …
increased nutrition costs. Consequently, investigating strategies to reduce these expenses …
Group Heteroscedasticity-A Silent Saboteur of Power and False Discovery in RNA-Seq Differential Expression
Despite the availability of several high-profile, state-of-the-art methods, analyzing bulk RNA-
Seq data continues to face significant challenges. Evidence from recent studies has …
Seq data continues to face significant challenges. Evidence from recent studies has …
cytoKernel: Robust kernel embeddings for assessing differential expression of single cell data
High-throughput sequencing of single-cell data can be used to rigorously evlauate cell
specification and enable intricate variations between groups or conditions. Many popular …
specification and enable intricate variations between groups or conditions. Many popular …
[PDF][PDF] Моделирование уровня производства сельскохозяйственной продукции в крестьянских (фермерских) хозяйствах методами эконометрики и машинного …
АВ Уколова, БШ Дашиева, ДВ Быков… - Вестник …, 2023 - vestnik.vsau.ru
В рамках Государственной программы развития сельского хозяйства... государство
предоставляет ряд мер поддержки К (Ф) Х в целях стимулирования их развития …
предоставляет ряд мер поддержки К (Ф) Х в целях стимулирования их развития …