Wen Zhang

• PhD
• Florida Atlantic University

Background As artificial intelligence (AI) continues to transform various aspects of our lives, conversational AI models have become increasingly sophisticated. The development of more accurate and informative language processing assistants has significant implications for numerous fields, including health care, medical service, and research assist...

Background The development and approval of novel drugs are typically time-intensive and expensive. Leveraging a computational drug repurposing framework that integrates disease-relevant genetically regulated gene expression (GReX) and large longitudinal electronic medical record (EMR) databases can expedite the repositioning of existing medications...

Genetic studies of schizophrenia reveal a complex polygenic risk architecture comprised of hundreds of risk variants; most are common in the population at-large, non-coding, and act by genetically regulating the expression of one or more gene targets ("eGenes"). It remains unclear how genetic variants predicted to confer individually small effects...

ZGNT, an innovative, novel workflow for zero-shot learning in drug repurposing that leverages meta-path graph neural network transform- ers. This method infers disease-drug relationships indirectly, utilizing disease-gene associations and gene-drug interactions via acting genes. It also generates a TOP drug-TOP gene linkage map, providing clini- ci...

To effectively reduce vision loss due to age-related macular generation (AMD) on a global scale, knowledge of its genetic architecture in diverse populations is necessary. A critical element, AMD risk profiles in African and Hispanic/Latino ancestries, remains largely unknown. We combined data in the Million Veteran Program with five other cohorts...

Motivation: Deep learning (DL) techniques are utilized to accelerate drug discovery and minimize risks during clinic trials for patients infected with Klebsiella Pneumoniae (KP) infections, enabling faster and more effective recovery. Results: Key data such as targets, enzymes, SMILES, and pathways were extracted from Drug-Bank for 3,475 selected b...

The development of effective antibiotics is crucial in combating antibiotic-resistant pathogens such as Klebsiella pneumoniae (KP). This study utilizes deep learning, specifically Evolutionary Scale Modeling (ESM), to identify potential drug candidates. By analyzing molecular similarities between known drugs and KP strains, we aim to accelerate the...

Here is the special issue with topic: Genetic Research on Neuropsychiatric Disorders and Complex Human Diseases Welcome submissions and deadline is Apr. 30, 2025 !

Attention-deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder with a major genetic component. Here, we present a genome-wide association study meta-analysis of ADHD comprising 38,691 individuals with ADHD and 186,843 controls. We identified 27 genome-wide significant loci, highlighting 76 potential risk genes enriched a...

To characterize the dysregulation of chromatin accessibility in Alzheimer’s disease (AD), we generated 636 ATAC-seq libraries from neuronal and nonneuronal nuclei isolated from the superior temporal gyrus and entorhinal cortex of 153 AD cases and 56 controls. By analyzing a total of ~20 billion read pairs, we expanded the repertoire of known open c...

Attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are highly heritable neurodevelopmental conditions, with considerable overlap in their genetic etiology. We dissected their shared and distinct genetic etiology by cross-disorder analyses of large datasets. We identified seven loci shared by the disorders and five lo...

Recent efforts have identified genetic loci that are associated with coronavirus disease 2019 (COVID-19) infection rates and disease outcome severity. Translating these genetic findings into druggable genes that reduce COVID-19 host susceptibility is a critical next step. Using a translational genomics approach that integrates COVID-19 genetic susc...

Identification of risk variants for neuropsychiatric diseases within enhancers underscores the importance of understanding population-level variation in enhancer function in the human brain. Besides regulating tissue-specific and cell-type-specific transcription of target genes, enhancers themselves can be transcribed. By jointly analyzing large-sc...

To effectively reduce vision loss due to age-related macular generation (AMD) on a global scale, knowledge of its genetic architecture in diverse populations is necessary. A critical element, AMD risk profiles in African and Hispanic/Latino ancestries, remains largely unknown due to lower lifetime prevalence. We combined genetic and clinical data i...

Schizophrenia has a heritability of 60–80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are exp...

Schizophrenia has a heritability of 60–80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are exp...

Schizophrenia is a highly heritable psychiatric disorder with a complex genetic risk architecture that reflects the additive impact of hundreds of risk variants. While many schizophrenia-associated risk variants are thought to regulate the expression of target genes in a cell-type-specific manner, the mechanisms by which the effect of these myriad...

Attention deficit hyperactivity disorder (ADHD) is a prevalent childhood psychiatric disorder, with a major genetic component. Here we present a GWAS meta-analysis of ADHD comprising 38,691 individuals with ADHD and 186,843 controls. We identified 27 genome-wide significant loci, which is more than twice the number previously reported. Fine-mapping...

Objectives We developed a computer-aided diagnosis system called ECRCCAD using standard white-light endoscopy (WLE) for predicting conventional adenomas with high-grade dysplasia (HGD) to optimise the patients' management decisions during colonoscopy. Methods Pretraining model was used to fine-tune the model parameters by transfer learning. 2,397...

Background Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has been associated with neurological and neuropsychiatric illness in many individuals. We sought to further our understanding of the relationship between brain tropism, neuro-inflammation, and host immune response in ac...

Speech sound disorders (SSD) manifest as difficulties in phonological memory and awareness, oral motor function, language, vocabulary, reading, and spelling. Families enriched for SSD are rare, and typically display a cluster of deficits. We conducted a genome-wide association study (GWAS) in 435 children from 148 families in the Cleveland Family S...

Background Recent efforts have identified genetic loci that are associated with coronavirus disease 2019 (COVID-19) infection rates and disease outcome severity. Translating these genetic findings into druggable genes and readily available compounds that reduce COVID-19 host susceptibility is a critical next step. Methods We integrate COVID-19 gene...

Enhancer RNAs (eRNAs) constitute an important tissue- and cell-type-specific layer of the regulome. Identification of risk variants for neuropsychiatric diseases within enhancers underscores the importance of understanding the population-level variation of eRNAs in the human brain. We jointly analyzed cell type-specific transcriptome and regulome d...

Introduction: As we know, the majority of colorectal cancers are thought to evolve from colorectal adenomas. In this study, we explored the use of Computer-aided diagnosis (CAD) in the detection of colorectal polyps and the estimation of their sizes, which is important for the diagnosis and management of colorectal cancer. Materials and methods:...

Traditional Chinese medicine (TCM) had demonstrated effectiveness in the prevention and control of COVID-19. Statistics showed that Ephedra and Glycyrrhiza were frequently used in the treatment of COVID-19. We hypothesized that the Ephedra-Glycyrrhiza drug pair is a potential choice for the treatment of COVID-19. Here, 112 active compounds were ide...

Speech sound disorders (SSD) manifest as difficulties in phonological memory and awareness, oral motor function, language, vocabulary, reading and spelling. Families enriched for SSD are rare, and typically display a cluster of deficits. We conducted a genome-wide association study (GWAS) in 435 children from 148 families in the Cleveland Family Sp...

Much is still unknown about the neurobiology of Alzheimer's disease (AD). To better understand AD, we generated 636 ATAC-seq libraries from cases and controls to construct detailed genome-wide chromatin accessibility maps of neurons and non-neurons from two AD-affected brain regions, the entorhinal cortex and superior temporal gyrus. By analyzing a...

In coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, the relationship between brain tropism, neuroinflammation and host immune response has not been well characterized. We analyzed 68,557 single-nucleus transcriptomes from three brain regions (dorsolateral prefrontal cortex, medul...

The availability of high-quality RNA-sequencing and genotyping data of post-mortem brain collections from consortia such as CommonMind Consortium (CMC) and the Accelerating Medicines Partnership for Alzheimer’s Disease (AMP-AD) Consortium enable the generation of a large-scale brain cis-eQTL meta-analysis. Here we generate cerebral cortical eQTL fr...

In the article, we present several new bounds for the the complete elliptic integrals K (r) = | 0π /²(1−r² sin² θ )⁻1/²dθ and E (r) = | 0π /² (1−r² sin² θ )¹/²dθ , and find an asymptotic expansion for K (r) as r → 1, which are the refinements and improvements of the previously well-known results.

In the article, we prove that the inequality Γ(x + 1) < x2 + p x + p holds for all x ∈ (0, 1) if and only if p > p0, where Γ(x) = | 0∞ tx−¹ e−t dt is the gamma function, p0 = [x0 Γ(x0 + 1) − x²0 ] /[1 − Γ(x0 + 1)] = 1.755 ··· , x0 = 0.192 ··· is the unique solution of the equation ψ (x + 1) = [1 − Γ(x + 1)][2 − Γ(x)]/[(1 − x)Γ(x + 1)] on the interv...

Colorectal cancer (CRC) is the third in incidence and mortality of cancer. Screening with colonoscopy has been shown to reduce mortality by 40-60%. Challenge for screening indistinguishable precancerous and noninvasive lesion using conventional colonoscopy was still existing. We propose to establish a propagable artificial intelligence assisted hig...

In this paper, we present the best possible parameters α 1 , α 2 , α 3 and β 1 , β 2 , β 3 such that the double inequalities C α 1 (a, b)G 1−α 1 (a, b) < T (a, b) < C β 1 (a, b)G 1−β 1 (a, b), α 2 C(a, b) + (1 − α 2)G(a, b) < T (a, b) < β 2 C(a, b) + (1 − β 2)G(a, b), α 3 G(a, b) + 1 − α 3 C(a, b) < 1 T (a, b) < β 3 G(a, b) + 1 − β 3 C(a, b) hold f...

In the aritcle, we prove that the double inequalities αA(a, b)+(1−α)G(a, b) < T [A(a, b), G(a, b)] < βA(a, b) + (1 − β)G(a, b) and G[λa + (1 − λ)b, λb + (1 − λ)a] < T [A(a, b), G(a, b)] < G[µa + (1 − µ)b, µb + (1 − µ)a] hold for all a, b > 0 with a = b if and only if α ≤ 1/2, β ≥ 2/π, λ ≤ (1 − 1 − 4/π 2)/2 and µ ≥ 1/2 − √ 2/4 if α, β ∈ R and λ, µ ∈...

In the article, we find the best possible parameters α 1 , α 2 , α 3 , β 1 , β 2 and β 3 such that the double inequalities A α 1 (a, b)H 1−α 1 (a, b) < T Q(a, b) < β 1 A(a, b) + (1 − β 1)H(a, b), [α 2 A(a, b) + (1 − α 2)H(a, b)]A(a, b) L(a, b) < T Q(a, b) < [β 2 A(a, b) + (1 − β 2)H(a, b)]A(a, b) L(a, b) , [α 3 L(a, b) + (1 − α 3)H(a, b)]A(a, b) <...

In the article, we prove that α = 3, β = log 4/(π/2 − log 4) = 7.51371 · · · , γ = 1/4 and δ = 1 + log 2 − π/2 = 0.122351 · · · are the best possible constants such that the double inequalities β + 1 β + r 2 log 4 r < K(r) < α + 1 α + r 2 log 4 r , 1 + 1 2 log 4 r − γ r 2 < E(r) < 1 + 1 2 log 4 r − δ r 2 hold for all r ∈ (0, 1), where r = √ 1 − r 2...

In the article, we present several monotonicity properties and bounds for the complete elliptic integral of the first kind. As applications, we find sharp bounds for the arithmetic-geometric mean.

In the article, we present several monotonicity properties and bounds for the complete elliptic integral of the first kind. As applications, we find sharp bounds for the arithmeticgeometric mean.

In the article, we find the best possible parameters 1 , 1 , 2 and 2 on the interval OE0; 1=2 such that the double inequalities H.a; bI 1 / < ˛A.a; b/ C .1 ˛/T .a; b/ < H.a; bI 1 /; G.a; bI 2 / < ˛A.a; b/ C .1 ˛/T .a; b/ < G.a; bI 2 / hold for all ˛ 2 OE0; 1 and a; b > 0 with a ¤ b, where A.a; b/ D .a C b/=2, T .a; b/ D 2 R =2 0 a cos 2  b sin 2...

Background: The enhancing incidence of carbapenem-resistant Klebsiella pneumoniae (CRKP)-mediated infections in Mengchao Hepatobiliary Hospital of Fujian Medical University in 2017 is the motivation behind this investigation to study gene phenotypes and resistance-associated genes of emergence regarding the CRKP strains. In current study, seven in...

Ba ckgrou nd The enhancing incidence of carbapenem-resistant Klebsiella pneumoniae (CRKP)-mediated infections in Mengchao Hepatobiliary Hospital of Fujian Medical University in 2017 is the motivation behind this investigation to study gene phenotypes and resistance-associated genes of emergence regarding the CRKP strains. In current study, seven in...

Background The enhancing incidence of carbapenem-resistant Klebsiella pneumoniae (CRKP)-mediated infections in Mengchao Hepatobiliary Hospital of Fujian Medical University in 2017 is the motivation behind this investigation to study gene phenotypes and resistance-associated genes of emergence regarding the CRKP strains. In current study, seven inpa...

The enhancing incidence of carbapenem-resistant Klebsiella pneumoniae (CRKP)-mediated infections in Mengchao Hepatobiliary Hospital of Fujian Medical University in 2017 is the motivation behind this investigation to study gene phenotypes and resistance-associated genes of emergence regarding the CRKP strains. In current study, seven inpatients are...

Objective Artificial intelligence (AI) has undeniable values in detection, characterization, and monitoring of tumors during cancer imaging. However, major AI explorations in digestive endoscopy have not been systematically planned, and more important, most AI productions are based on Single-center Studies (ScSs). ScSs result in data scarcity, redu...

Despite the progresses of genome-wide association studies (GWASs) in revealing genetic mechanisms of human complex traits, the basis through which most identified risk variants function are highly unknown and need further investigations as well as discoveries. Recent advancements of transcriptome predictions put the transcriptome-wide association s...

We establish the monotonicity and convexity properties for several special functions involving the generalized elliptic integrals, and present some new analytic inequalities.

Transcriptome-wide association studies integrate gene expression data with common risk variation to identify gene-trait associations. By incorporating epigenome data to estimate the functional importance of genetic variation on gene expression, we generate a small but significant improvement in the accuracy of transcriptome prediction and increase...

The enhancing incidence of carbapenem-resistant Klebsiella pneumoniae (CRKP)-mediated infections in Mengchao Hepatobiliary Hospital of Fujian Medical University in 2017 promoted this investigation to study gene phenotypes and resistance genes of emergence regarding the CRKP strains. In current study, seven inpatients are enrolled in the hospital wi...

In the article, we present several monotonicity theorems and inequalities for the modular equation functions ma(r)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$m_{a}(...

This mini-review gives the development of computational drug repositioning using big data from perspective of genetic study. The reverse profile principle is utilized to reposition drug hits by investigating gene expression, genotyping and GWAS data. Several big data sets are introduced, which are remarkable references that utilized for the genetic...

This mini-review gives the development of computational drug repositioning using big data from perspective of genetic study. The reverse profile principle is utilized to reposition drug hits by investigating gene expression, genotyping and GWAS data. Several big data sets are introduced, which are remarkable references that utilized for the genetic...

In the article, we prove that the double inequality π 2 J(r ′ ) − 51 π − 160 160 r 16 < E(r) < π 2 J(r ′ ) − 5 π 3 × 2 31 r 16 holds for all r ∈ (0, 1), where E(r) = ! π/ 2 0 " 1 − r 2 sin 2 (t ) dt is the complete elliptic integral of the second kind, r ′ = (1 − r 2 ) 1 / 2 and J(r ) = 51 r 2 + 20 r √ r + 50 r + 20 √ r + 51 16( 5 r + 2 √ r + 5)

2020, The Author(s). The availability of high-quality RNA-sequencing and genotyping data of post-mortem brain collections from consortia such as CommonMind Consortium (CMC) and the Accelerating Medicines Partnership for Alzheimer’s Disease (AMP-AD) Consortium enable the generation of a large-scale brain cis-eQTL meta-analysis. Here we generate cere...

In the article, we present a monotonicity property involving the zero-balanced hyper-geometric function F(a,b;a + b;x) for all a,b > 0 , and establish several sharp inequalities for F(a,b;a + b;x) in the first quadrant of ab-plane, which are the generalizations of the previously results.

Transcriptome-wide association studies integrate gene expression data with common risk variation to identify gene-trait associations. By incorporating epigenome data to estimate the functional importance of genetic variation on gene expression, we improve the accuracy of transcriptome prediction and the power to detect significant expression-trait...

In the article, we present a monotonicity property involving the zero-balanced hypergeometric function F(a,b;a+b;x) for all a,b > 0, and establish several sharp inequalities for F(a,b;a+b;x) in the first quadrant of ab-plane, which are the generalizations of the previously results.

We establish the monotonicity and convexity properties for several special functions involving the generalized elliptic integrals, and present some new analytic inequalities.

In the article, we present several quadratic transformation inequalities for Gaussian hypergeometric function and find the analogs of duplication inequalities for the generalized Grötzsch ring function.

Poster for the 10th Annual Neuroscience Retreat

Motivation: Most genetic variants implicated in complex diseases by genome-wide association studies (GWAS) are non-coding, making it challenging to understand the causative genes involved in disease. Integrating external information such as quantitative trait locus (QTL) mapping of molecular traits (e.g., expression, methylation) is a powerful app...

In the article, we prove that the double inequalities [Formula presented][Formula presented]<K(r)<[Formula presented][Formula presented], [Formula presented]L(1,r)<AGM(1,r)<[Formula presented]L(1,r) hold for all r∈(0,1) if and only if p≥π/2=1.570796⋯ and q≤89/69=1.289855⋯ where K(r)=∫0π/2(1−r²sin²⁡t)−1/2dt is the complete elliptic integral of the f...

Motivation Most genetic variants implicated in complex diseases by genome-wide association studies (GWAS) are non-coding, making it challenging to understand the causative genes involved in disease. Integrating external information such as quantitative trait locus (QTL) mapping of molecular traits (e.g., expression, methylation) is a powerful appro...

In the article, we find the best possible parameters p and q on the interval (7/5,(7? ? 20)/(5? ? 15)) such that the double inequality 1 ? ? (p)e? px² ? (1 ? ? (p))e?? (p)x² < erf(x) < 1 ? ? (q)e?qx² ? (1 ? ? (q))e?? (q)x² holds for all x > 0, where erf(x) =²?0x e?t² dt is the error function, ? (p) = 4[(7? ? 20) ? 5(? ? 3) p]/[? (15 p² ? 40 p + 28)...

In the article, we present the best possible parameters a, b on the interval (0, ∞) such that the Gautschi double inequality [(x p + a) 1/p − x]/a < e x p ∞ x e −t p dt < [(x p + b) 1/p − x]/b holds for all x > 0 and p ∈ (0, 1). As applications, we find new bounds for the incomplete gamma function Γ(a, x) = ∞ x t a−1 e −t dt .

Enhancers, as specialized genomic cis-regulatory elements, activate transcription of their target genes and play an important role in pathogenesis of many human complex diseases. Despite recent systematic identification of them in the human genome, currently there is an urgent need for comprehensive annotation databases of human enhancers with a fo...

In the article, we present the best possible parameters a,b on the interval (0,∞) such that the Gautschi double inequality [(xp+a)1/p-x]/a < exp∫x∞e-tpdt < [(xp+b)1/p-x]/b holds for all x > 0 and p ∈(0,1).As applications, we find new bounds for the incomplete gamma function τ(a,x) =∫x∞ta-1e-tdt.

In the article, we prove that the double inequality (Formula presented.) holds for all x∈ (0 , 1) , we present the best possible constants λ and μ such that (Formula presented.) for all x∈ (0 , 1) , and we find the value of x∗ in the interval (0 , 1) such that Γ (x+ 1) > (x²+ 1 / γ) / (x+ 1 / γ) for x∈ (0 , x∗) and Γ (x+ 1) < (x²+ 1 / γ) / (x+ 1 /...